Journal Description

Agriculture

Agriculture is an international, scientific peer-reviewed open access journal published monthly online by MDPI.

Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
High Visibility: indexed within Scopus, SCIE (Web of Science), PubAg, AGRIS, RePEc, and other databases.
Journal Rank: JCR - Q1 (Agronomy) / CiteScore - Q2 (Plant Science)
Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 16.6 days after submission; acceptance to publication is undertaken in 2.5 days (median values for papers published in this journal in the first half of 2023).
Recognition of Reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any MDPI journal, in appreciation of the work done.
Companion journals for Agriculture include: Poultry, Grasses and Crops.

Impact Factor: 3.6 (2022); 5-Year Impact Factor: 3.6 (2022)

Imprint Information Journal Flyer Open Access ISSN: 2077-0472

Latest Articles

Open AccessArticle

Production of Late Seedlings of Açai (Euterpe oleraceae) in an Aquaponic System with Tambaqui (Colossoma macropomum, Curvier, 1818)

Edileno Tiago de Sousa Nascimento

Raimundo Formento Pereira Junior

Valéria Silva dos Reis

Bianca de Jesus Figueiredo Gomes

Marco Shizuo Owatari

Ronald Kennedy Luz

Nuno Filipe Alves Correia de Melo

Maria de Lourdes Souza Santos

Glauber David Almeida Palheta

and

Fabio Carneiro Sterzelecki

Agriculture 2023, 13(8), 1581; https://doi.org/10.3390/agriculture13081581 - 08 Aug 2023

Abstract

Over the years, aquaponics has become a powerful technological tool that allows the sustainable production of food, integrating conventional fish farming with vegetable production. The present study evaluated the production of late seedlings of açai Euterpe oleraceae in an aquaponic system with tambaqui Colossoma macropomum. A total of 36 tambaquis with an initial average weight and length of 1086.75 ± 16.38 g and 38.49 ± 0.90 cm were distributed in 12 independent aquaponic units, totaling 3.62 kg m⁻³. The fish were fed three times daily with commercial feed at a rate of 3%. Three flooding levels of 5, 10 and 15 cm, with constant water flow through the hydroponic bed (0.5 m²), were evaluated, and a control-hydroponic bed with flooding levels of 10 cm was established, all in triplicate. In the 5 and 10 cm treatments, 3450 açai seedlings with an initial height of 12.3 ± 1.9 cm were used (575 per aquaponic units), while the 15 cm treatment contained non-germinated açai seeds. The control group did not receive açai seeds and remained empty. Analyses to monitor total dissolved solids (TDS), electrical conductivity, dissolved oxygen, temperature, pH, alkalinity, hardness, nitrogenous compounds, and phosphate levels were performed. At the end of the 30-day trial, the growth performance of tambaqui and plants was evaluated. Water quality was significantly (p < 0.05) affected by different flooding levels. Electrical conductivity and TDS decreased with an increasing in flooding levels. The flooding levels significantly influenced (p < 0.05) the concentration of total ammonia and nitrate between the treatments. The 5 cm flooding level showed the best plant development indexes for total height, aerial portion height, root height and aerial portion fresh mass. No significant differences (p < 0.05) were observed in tambaqui growth performance. The aquaponic system proved to be effective in reusing fish waste (excreta and feed leftovers) generated in the system. The biotransformation of waste into nutrients allowed the growth of plants and nitrifying bacteria, which, through their metabolic pathways, ensured the purification and reuse of water, avoiding the discharge of this waste into the environment. Full article

(This article belongs to the Special Issue Sustainable Rural Development and Agri-Food Systems)

Open AccessArticle

Design and Test of a Low-Loss Soybean Header Based on Synchronous Profiling

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Agriculture 2023, 13(8), 1580; https://doi.org/10.3390/agriculture13081580 - 08 Aug 2023

Abstract

A synchronous-profiling, low-position-cutting, flexible-reel-belt-conveyor, low-loss soybean header was designed to address the problems of a lack of soybean harvesting machines supporting soybean-corn strip intercropping, the few existing soybean headers, and the high loss rate of soybean headers. By establishing a dynamic model of the synchronous-profiling cutting device, the key structure and operation parameters that affect the performance of synchronous profiling were determined, while the key parameters of the flexible-reel-belt conveyor device were determined by theoretical analysis. Based on ADAMS rigid-flexible coupling, simulation analysis was conducted on the working process of the synchronous-profiling cutting device, verifying that the profiling cutting device can effectively control the height of the cutter off the ground with undulating ground and that the cutting device can accurately and quickly respond to ground excitation, meeting the requirements of synchronous-profiling, low-position cutting. Field tests showed that the loss rate and stubble height of the soybean headers are 1.34% and 70.36 mm, respectively, which are 55% and 22.7% lower than the existing reel-type rigid soybean headers, meeting the actual production requirements. This study can provide a reference for the structural design of soybean harvesting headers and the reduction of header losses. Full article

(This article belongs to the Special Issue Agricultural Machinery Design and Agricultural Engineering)

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Open AccessArticle

Aerodynamic Performance Optimization of Centrifugal Fan Blade for Air System of Self-Propelled Cotton-Picking Machine

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Agriculture 2023, 13(8), 1579; https://doi.org/10.3390/agriculture13081579 - 08 Aug 2023

Abstract

To enhance the working efficiency and aerodynamic performance of the centrifugal fan in the air system of a cotton picker, a new type of centrifugal fan blade was designed by extracting the mid-arc section from the prototype blade and integrating an airfoil, which was transplanted and coupled to the mid-arc section. The design aimed to improve the airflow characteristics and performance of the centrifugal fan. By combining experimental data from centrifugal fans used in existing cotton-picker air systems and employing computational fluid dynamics (CFD) methods, the internal flow field structure of the centrifugal fan was simulated. This study focused on investigating the aerodynamic performance of the new centrifugal fan blade and its impact on improving the internal flow patterns within the centrifugal fan. The results of the flow field visualization analysis indicate that the new blade design exhibits excellent aerodynamic performance, improving the flow distribution within the centrifugal fan. It enhances the uniformity of the outlet airflow, reduces the occurrence of localized “jet-wake” phenomena at the impeller’s outlet, suppresses the generation and development of vortices in the flow channel, and reduces local energy losses within the impeller. These improvements contribute to an increase in the fan’s efficiency. Under rated operating conditions, the efficiency of the prototype fan was measured at 60.3%, while the optimized fan achieved an efficiency of 64.8%. This signifies a significant improvement in the efficiency of the centrifugal fan. Full article

(This article belongs to the Section Agricultural Technology)

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Open AccessArticle

Design and Experimentation of a Self-Propelled Picking Type White Radish Combine Harvester

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Agriculture 2023, 13(8), 1578; https://doi.org/10.3390/agriculture13081578 - 08 Aug 2023

Abstract

In view of the low level of mechanized harvesting of white radish in China and other developing countries and the current situation of “no machine can be used” due to the expensive imported machines, a self-propelled white radish combine harvester was designed based on the material, growth characteristics, and agronomic pattern of white radish. This combines harvester can realize the functions of white radish tassel gathering, deep soil loosening, clamping and conveying, tassel cutting, and collecting. In this research, the overall design of the harvester is described, and the structural and working parameters and kinematic requirements of the tassel gathering device, clamping and conveying device, tassel cutting device, and vibrating deep loosening device are determined by mechanical and kinematic analysis. Innovatively, a range of values for the tassel gathering speed ratio of 1.7–4.2 is proposed for the operation of the tassel gathering device suitable for white radish harvesting. The prototype was bench tested with the loss rate, damaged rate, and impurity rate as performance evaluation indexes. The results show that under the pitch of 240 mm between the taper angle of the tassel-raising device, a speed of 80 rpm for the tassel gathering device gathering claw belt rotation, a speed of 120 rpm for the clamping and conveying pulley rotation, a vibration frequency of 2 Hz and an amplitude of 15 mm for the vibrating deep loosening device, and a forward speed of 0.5 m/s (tassel gathering speed ratio: 1.7). The loss rate was 2.75%, the damage rate was 4.99%, and the impurity rate was 1.64%. During the operation, the innovatively designed white radish leaf gathering device can better fulfill the function of tassel gathering, and the systems worked well together, meeting the requirements of mechanized combined harvesting of white radish, but the adaptability to complex working conditions in the field needs to be further strengthened. This research can provide a reference for the design and optimization of mechanized white radish harvesting equipment. Full article

(This article belongs to the Section Agricultural Technology)

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Open AccessArticle

Effect of Dietary Calcium Propionate Inclusion Period on the Growth Performance, Carcass Characteristics, and Meat Quality of Feedlot Ram Lambs

Octavio Carrillo-Muro

Alejandro Rivera-Villegas

Pedro Hernandez-Briano

Marco Antonio Lopez-Carlos

and

Beatriz Isabel Castro-Perez

Agriculture 2023, 13(8), 1577; https://doi.org/10.3390/agriculture13081577 - 08 Aug 2023

Abstract

The objective was to determine the effect of calcium propionate (CaPr) inclusion in the diet, at different periods on the growth performance, carcass characteristics, and meat quality of finishing lambs. Thirty-six Dorper × Katahdin crossbred male lambs (39.1 ± 0.44 kg BW) were housed in individual pens during a 42 d feeding period and assigned to four treatments (n = 9) consisting of CaPr administered at a dose of 10 g/lamb/d for 0 (control), 14, 28, or 42 d before slaughter. Final BW (FBW), average daily gain (ADG), dry matter intake (DMI), and ADG:DMI ratio increased quadratically (p < 0.05) by CaPr supplementation, being optimal at an estimated inclusion period of 25 d for FBW and ADG, 15 d for DMI, and 28 d for ADG:DMI ratio. Hot carcass weight (HCW), cold carcass weight (CCW), and dressing were quadratically improved (p < 0.05) at an estimated inclusion period of 24 d for HCW and CCW, and 20 d for dressing. The increased inclusion period (42 d) augmented fat thickness (linear effect, p < 0.05). At 28 d of CaPr supplementation, maximal response (quadratic effect, p < 0.05) was estimated in the empty body weight at 28 d, forequarter at 26 d, and neck at 24 d, but a longer inclusion period (42 d) increases the weight of leg and rack and reduced the proportion of loin as a percentage of CCW (linear effect, p < 0.05). In conclusion, dietary CaPr can be included for a period of 24 to 28 d to improve growth performance and carcass weight, without affecting organ mass or meat quality. Full article

(This article belongs to the Special Issue Animal Nutrition and Productions: Series II)

Open AccessArticle

The Environmental Tax Scheme in China’s Large-Scale Pig Farming: Balancing Economic Burden and Responsibility

Tiemei Yan

Tong Zhang

and

Zhanguo Zhu

Agriculture 2023, 13(8), 1576; https://doi.org/10.3390/agriculture13081576 - 07 Aug 2023

Abstract

China has implemented an environmental protection tax for large-scale agricultural farming to address environmental pollution caused by livestock and poultry breeding. Studying the environmental management of large-scale pig farming is crucial for controlling agricultural pollution. However, the economic impact and effectiveness of the current tax design, including responsibility sharing, tax rates, and taxpayers, are unclear. This study aims to address these gaps. Firstly, two types of taxation principles, production-based and consumption-based, are established, and their effects on pollution emissions distribution between pig production and marketing areas are comparatively analyzed. Secondly, the economic impact of consumption-based environmental taxes is estimated from inter-provincial and rural–urban perspectives under the current tax mechanism. Thirdly, a new alternative tax rate aligned with inter-provincial pig consumption levels is proposed based on the consumption principle. By comparing alternative tax systems, the potential impact of the current environmental tax on the regional economic burden is analyzed. The results highlighted that a production-based tax system resulted in 83% of regions experiencing varying degrees of implicit emission transfers, and a consumption-based tax system helped coordinate the environmental economic burden between pig production and marketing regions. Additionally, a linear relationship between tax rates and pork consumption expenditure not only alleviated the overall economic burden, leading to tax savings in 30% of regions, but also increased the national environmental revenue from the pig farming industry, resulting in a remarkable 147% rise in overall environmental tax revenue. These findings provide theoretical support for adjusting responsibility and economic burden through environmental tax modifications, facilitating the establishment of a compensation mechanism for the benefits between pig production and marketing areas. Full article

(This article belongs to the Special Issue Agricultural Environmental Pollution, Risk Assessment, and Control)

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Open AccessArticle

Diversity and Pathogenicity of Botryosphaeriaceae and Phytophthora Species Associated with Emerging Olive Diseases in Italy

Benedetto T. Linaldeddu

and

Agriculture 2023, 13(8), 1575; https://doi.org/10.3390/agriculture13081575 - 07 Aug 2023

Abstract

Extensive collar rot, sunken and bleeding cankers, shoot blight, and fruit rot symptoms on olive trees have recently been observed in several orchards in Italy. Since there is little information about the etiology of these diseases and given the high economic relevance of this iconic crop, a study was conducted from autumn 2017 to summer 2022, in four Italian regions, to define the occurrence, distribution and impact of the main pathogens involved. A total of 1064 symptomatic olive samples were collected and processed. Based on colony appearance, micromorphological analysis and DNA sequence data, thirty-eight species, including eighteen Botryosphaeriaceae species belonging to five genera and fifteen Phytophthora species, were isolated and identified, thirteen of which, Diplodia africana, D. fraxini, D. subglobosa, Dothiorella omnivora, Do. sarmentorum, Do. sempervirentis, Sardiniella urbana (Botryosphaeriaceae), Phytophthora cactorum, P. cinnamomi, P. citricola, P. crassamura, P. niederhauserii and P. pseudocryptogea, are reported here for the first time in olive trees. Pathogenicity tests performed on unripe drupes and on potted olive seedlings completed Koch postulates and highlighted that several species of Botryosphaeriaceae and Phytophthora represent a growing threat to olive trees. Full article

(This article belongs to the Special Issue Diseases and Disorders of Perennial and Ornamental Plants)

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Open AccessArticle

Effective Laser Fly Control with Modulated UV-A Light Trapping for Mushroom Fungus Gnats (Diptera: Sciaridae)

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Agriculture 2023, 13(8), 1574; https://doi.org/10.3390/agriculture13081574 - 07 Aug 2023

Abstract

Fungus gnats (Sciaridae) are one of the most devastating pests on mushroom farms. Generally, they are controlled using relatively inefficient physical means, like sticky or pheromone traps, or with chemical pesticides. Here, we have proposed an integrated fungus gnat control system combining a UV-A LED source at 365 nm and a high-power laser diode at 445 nm. The 365 nm UV-A LED serves a light trap, since previous studies have concluded that fungus gnats show maximum attraction in the range of 365–390 nm. The UV-A LED is also modulated at different frequencies, and the response of the gnats corresponding to these different frequencies was observed. We utilized an Arduino Uno microcontroller to run the integrated device, and a BASLER USB camera was used to capture the images. Our experiments indicated that a frequency of 40 Hz is the optimal choice for attracting the gnats most rapidly. Within 20 s of exposure, the UV-A LED operated at 40 Hz was found to trap approximately 80% of the gnats. In a restricted trapping zone measuring 2.5 × 2.5 × 3 cm³, our integrated module, which includes a 40 Hz modulated UV-A LED and a laser, resulted in a survival rate of only 50% for the total number of gnats. This outcome was accomplished through periodic 200 ms long exposures, amounting to a total duration of 2 min for a group of 100 gnats. Full article

(This article belongs to the Special Issue Advances in Agricultural Engineering Technologies and Application)

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Open AccessArticle

Genome-Wide Association Studies of Salt-Tolerance-Related Traits in Rice at the Seedling Stage Using InDel Markers Developed by the Genome Re-Sequencing of Japonica Rice Accessions

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Agriculture 2023, 13(8), 1573; https://doi.org/10.3390/agriculture13081573 - 07 Aug 2023

Abstract

Japonica-specific markers are crucial for the analysis of genetic diversity, population structure, evolutionary traits, and genome-wide association study (GWAS) of japonica germplasm accessions. This study developed 402 insertion–deletion (InDel) polymorphic markers based on the re-sequencing of four japonica rice landraces and three japonica rice cultivars. These InDel markers were uniformly distributed across 12 rice chromosomes with high polymorphism and good amplification specificity. The average density of InDel markers on each chromosome was 0.95 Mb per locus. On the basis of these InDel markers, genetic diversity analyses and GWASs for 12 salt-tolerance-related traits were performed using 182 japonica rice accessions. In total, 1204 allelic variants were detected, with an average of 3.00 alleles and 2.10 effective alleles per locus. Based on population structure analysis, 182 japonica rice accessions were divided into four subgroups. The GWAS analyses revealed a total of 14 salt-tolerance-related InDels, which were located on chromosomes 1–5, 9, 10, and 12. Twenty-eight allelic loci were identified, explaining 6.83% to 11.22% of the phenotypic variance. Haplotype analysis detected six InDel markers associated with salt-tolerance-related traits that were significantly different (p < 0.05) or highly significantly different (p < 0.01) among different haplotypes. These markers can be utilized for the molecular identification of salt-tolerant rice germplasm accessions. Full article

(This article belongs to the Section Genotype Evaluation and Breeding)

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Open AccessArticle

A Preliminary Determination of Mechanical and Suspension Properties of Waste Mulch Film and Cotton Stalk

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Agriculture 2023, 13(8), 1572; https://doi.org/10.3390/agriculture13081572 - 07 Aug 2023

Abstract

In order to provide basic data and a theoretical basis for waste mulch film crushing and separation equipment, the mechanical and suspension properties of waste mulch film and cotton stalk were determined in this study. In the mechanical properties test, the tensile properties of waste mulch film and the shear properties of different parts of cotton stalk were investigated. In the suspension properties test, the suspension properties of different qualities of waste mulch film and different parts of cotton stalk were investigated. The results showed that the average maximum tensile forces and fracture displacements of the waste mulch film were 1.70 N (horizontal), 0.80 N (vertical) and 254.75 mm (horizontal), 145.22 mm (vertical). The shear properties of the cotton stem after wrapping the mulch film were greatly improved; the maximum shearing force was 186.89% higher than that of the unwrapped specimens. When the total suspension velocity was from 3.09 to 4.07 m/s, separation of mulch film and cotton stalk could be achieved by wind. Full article

(This article belongs to the Section Agricultural Technology)

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Open AccessArticle

Food Trade Network and Food Security: From the Perspective of Belt and Road Initiative

Mohammed Ismail Alhussam

Jifan Ren

Hongxing Yao

and

Omar Abu Risha

Agriculture 2023, 13(8), 1571; https://doi.org/10.3390/agriculture13081571 - 07 Aug 2023

Abstract

In recent times, there has been a growing interest in the role of food trade in achieving food security. This study presents a comprehensive analysis of the relationship between food trade and food security within the context of the Belt and Road Initiative (BRI). This study employs complex networks alongside the quadratic assignment procedure (QAP) regression method on trade data of 46 countries under BRI for the period 2008 to 2018. The resulting complex network showed an enhancement in the food trade relationships and food security levels after BRI, indicating a mutually positive effect. In addition, the closeness centrality measure showed a strong correlation with food security, indicating that food trade has positive spillovers on food security in the proximate countries. Using geographical distance as an instrumental variable, the QAP regression model proved the positive effects of food trade on food security. More investment in trade infrastructure is recommended to reduce the negative effect of geographical distance on food security. Full article

(This article belongs to the Special Issue The Sustainable Agri-Food Systems in the Era of COVID-19: Opportunities and Challenges)

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Open AccessArticle

Straw Return Decomposition Characteristics and Effects on Soil Nutrients and Maize Yield

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Agriculture 2023, 13(8), 1570; https://doi.org/10.3390/agriculture13081570 - 06 Aug 2023

Abstract

Straw return benefits soil nutrient circulation and avoids the environmental pollution caused by incineration. The straw return effect is determined by many factors, such as the returning mode and tillage method. To find the most suitable straw return mode in the hilly areas of south China, we conducted experiments with preceding maize straw in Nanchong (Sichuan Province, China) for three years. Five treatments were tested: (A) rotary tillage without straw return (RT), (B) crushed straw return with rotary tillage (CRT), (C) crushed straw return without rotary tillage (CSR), (D) whole straw return with rotary tillage (WRT), and (E) whole straw return without rotary tillage (WSR). The results indicated that CRT had the fastest decomposition rate, followed by CSR. Moreover, CRT had the fastest nutrient release rates for nitrogen, phosphorus, potassium, cellulose, hemicellulose, and lignin, as well as the highest maize yield (6.62% higher than RT). CRT increased the content of organic matter, total nitrogen, total phosphorus, and total potassium in the soil, as well as improved the soil pH. Furthermore, the numbers of bacteria, Actinomycetes, and fungi in the soil under CRT, CSR, and WSR treatments were higher than those under the other two treatments. This study has important reference value for exploring the most favourable straw return method for improving farmland fertility. Full article

(This article belongs to the Special Issue Effects of Agricultural Management Practices on Soil Fertility and Microbiome Structure)

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Open AccessArticle

Germination Response of Different Castor Bean Genotypes to Temperature for Early and Late Sowing Adaptation in the Mediterranean Regions

Valeria Cafaro

Efthymia Alexopoulou

Salvatore Luciano Cosentino

and

Cristina Patanè

Agriculture 2023, 13(8), 1569; https://doi.org/10.3390/agriculture13081569 - 06 Aug 2023

Abstract

Germination of castor seeds of seven dwarf hybrid genotypes, compared to a ‘Local’ genotype, selected from a Tunisian population by the University of Catania well adapted to the Mediterranean environment, were studied at six different temperatures (8, 12, 16, 25, 32, and 40 °C). The results indicate that the optimal temperature (25 °C) and near-optimal temperature (32 °C) are the best temperatures for ensuring castor germination (final germination percentage (FGP) ≥ 82.81%). Furthermore, these temperatures positively influenced the vigour index (VI) and the radicle elongation. At a temperature of 8 °C, no germination occurred, while temperatures of 12 and 40 °C negatively affected the seed germination, which, in some genotypes, was null or negligible (<21.25%). A temperature of 16 °C allowed good results to be reached for the FGP and the other considered parameters. Overall, the dwarf hybrids performed better at high temperatures than at low temperatures, thus, making them suitable for late sowings, with the exception of the genotype ‘C1020’, which resulted the best performance at 16 and 40 °C, being suitable for both early and late sowings. On the other hand, the ‘Local’ castor genotype, being the best-performing genotype at 12 and 16 °C, and the most tolerant to low temperature (base temperature (Tb) 12.1 °C), could be used in the early sowing in spring. Full article

(This article belongs to the Section Genotype Evaluation and Breeding)

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Open AccessArticle

Instance Segmentation of Lotus Pods and Stalks in Unstructured Planting Environment Based on Improved YOLOv5

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Agriculture 2023, 13(8), 1568; https://doi.org/10.3390/agriculture13081568 - 06 Aug 2023

Abstract

Accurate segmentation of lotus pods and stalks with pose variability is a prerequisite for realizing the robotic harvesting of lotus pods. However, the complex growth environment of lotus pods causes great difficulties in conducting the above task. In this study, an instance segmentation model, LPSS-YOLOv5, for lotus pods and stalks based on the latest YOLOv5 v7.0 instance segmentation model was proposed. The CBAM attention mechanism was integrated into the network to improve the model’s feature extraction ability. The scale distribution of the multi-scale feature layer was adjusted, a 160 × 160 small-scale detection layer was added, and the original 20 × 20 large-scale detection layer was removed, which improved the model’s segmentation accuracy for small-scale lotus stalks and reduced the model size. On the medium-large scale test set, LPSS-YOLOv5 achieved a mask mAP₀.₅ of 99.3% for all classes. On the small-scale test set, the mAP₀.₅ for all classes and AP₀.₅ for stalks were 88.8% and 83.3%, which were 2.6% and 5.0% higher than the baseline, respectively. Compared with the mainstream Mask R-CNN and YOLACT models, LPSS-YOLOv5 showed a much higher segmentation accuracy, speed, and smaller size. The 2D and 3D localization tests verified that LPSS-YOLOv5 could effectively support the picking point localization and the pod–stalk affiliation confirmation. Full article

(This article belongs to the Special Issue Applications of Data Analysis in Agriculture)

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Open AccessArticle

Plant Protection and Fertilizer Use Efficiency in Farms in a Context of Overinvestment: A Case Study from Poland

Jagoda Zmyślona

Arkadiusz Sadowski

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Natalia Genstwa

Agriculture 2023, 13(8), 1567; https://doi.org/10.3390/agriculture13081567 - 06 Aug 2023

Abstract

The purpose of this study was to determine the relationship between plant protection and fertilizer use efficiency, on one side, and overinvestment in Polish agriculture, on the other. This is an important topic because of a number of essential issues, such as the concern for the environment, the development of sustainable agriculture, or the need to ensure food security which can only be achieved by keeping production volumes at least at the same level. Reconciling these goals often requires investment which, however, involves the risk of overinvesting, i.e., a situation where the value of assets grows without a proportional increment in labor productivity. This paper uses the author’s own method of farm classification by overinvestment level. The study revealed some differences in the cost intensity of fertilizing and using plant-protection products between investment levels. The most rational results were found in farms at optimum investment levels, whereas the greatest cost intensity was recorded in farms affected by overinvestment. Full article

(This article belongs to the Special Issue Sustainable Agriculture and Food Supply: Scientific, Economic and Policy Aspects)

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Open AccessEditorial

Animal Hygiene on Farms—More Important than Ever Before

Nicole Kemper

Agriculture 2023, 13(8), 1566; https://doi.org/10.3390/agriculture13081566 - 05 Aug 2023

Abstract

“Prevention is better than cure” [...] Full article

(This article belongs to the Special Issue Animal Hygiene on Farms - Realising Animal Health Prevention)

Open AccessArticle

The Random Vibrations of the Active Body of the Cultivators

Nicolae-Valentin Vladut

Nicoleta Ungureanu

Mihai Matache

Cornelia Muraru-Ionel

Oana-Diana Cristea

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Evelin-Anda Laza

Agriculture 2023, 13(8), 1565; https://doi.org/10.3390/agriculture13081565 - 04 Aug 2023

Abstract

The article continues the exposition of the results obtained in researching an agricultural machine for processing soil, designed for research with applications including exploitation. The MCLS (complex machine for soil tillage) was designed to research the working processes of the instruments intended for soil processing. The MCLS cultivator is a modulated machine (it can work for three working widths: 1, 2, and 4 m, with tractors of different powers) that is designed to use a wide range of working bodies. The experimental data obtained with the structure with a working width of 1 m and the results of their processing within the framework of the theory of random vibrations are presented in this article. The experimental results are analysed as random vibrations of the supports of the active working bodies. As a result, the main characteristics of random vibrations are exposed: the distribution function, the average value, the autocorrelation, and the frequency spectrum. These general results regarding random vibrations are used for several critical applications in the design, execution, and exploitation of some subassemblies and assemblies of agricultural machines of this type. The main applications include estimating the probability of the occurrence of dangerous load peaks, counting and selecting the load peaks that produce fatigue accumulation in the material of the supports of the working bodies, identifying some design deficiencies or defects in the work regime, and estimating the effects of vibrations on the quality of soil processing. All of the outcomes are composed of applications in MCLS research and exploitation. The applications pursue well-known objectives of modelling the working processes of agricultural machines: safety at work, increasing the quality of work, optimising energy consumption, and increasing productivity, all in a broad context to obtain a compromise situation. The material and the method are based on experimental data acquisition, processing, and interpretation. Full article

(This article belongs to the Special Issue 'Eyes', 'Brain', 'Feet' and 'Hands' of Efficient Harvesting Machinery)

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Open AccessArticle

Metabolite Diversity in Pulp Segments, Peel, Leaves, and Bark of a Red-Fleshed ‘Baya Marisa’ Apple Cultivar

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Agriculture 2023, 13(8), 1564; https://doi.org/10.3390/agriculture13081564 - 04 Aug 2023

Abstract

This study investigated the composition of sugars, organic acids, individual and total phenolic compounds in the pulp, peel, leaves, and bark of a red-fleshed ‘Baya Marisa’ apple cultivar. As the fruit is known for its red pulp color, the study focused on comparing the profiles of primary and selected secondary metabolites in three sections along the equatorial fruit plane. The analyses were carried out using HPLC–MS system, and compositional differences were compared among fruit segments. Inner fruit segments accumulated higher levels of sorbitol and the sum of sugars and lower levels of citric acid. However, no differences in the sum of organic acids could be determined among segments. The phenolic composition differed among pulp (hydroxycinnamic acids > dihydrochalcones ≈ anthocyanins ≈ flavanols > flavonols), peel (flavanols > anthocyanins > dihydrochalcones > flavonols > hydroxycinnamic acids), leaves (flavonols > dihydrochalcones > hydroxycinnamic acids > anthocyanins), and bark (dihydrochalcones > flavonols > flavanols > anthocyanins > hydroxycinnamic acids). The greatest phenolic diversity was detected in bark (25), followed by leaves (18), peel (17) and finally, pulp (11). Three anthocyanins (cyanidin-3-O-galactoside > cyanidin-3-O-arabinoside > peonidin-3-O-galactoside) were determined in all ‘Baya Marisa’ tissues with their content highest in the peel. The innermost sections of the fruit were characterized by higher levels of dihydrochalcones and lower levels of most flavanols, flavonols and anthocyanins. These were predominant in the apple pulp nearest to the peel, with cyanidin-3-O-galactoside being the prevalent representative. Accumulation of anthocyanins in pulp is a rare trait in apples, and therefore, the distinct distribution and diversity of metabolites in this cultivar highlights its potential for high-nutrient products such as juices, apple chips or purees. Full article

(This article belongs to the Section Agricultural Product Quality and Safety)

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Open AccessArticle

Dependency of Crops on Pollinators and Pollination Deficits: An Approach to Measurement Considering the Influence of Various Reproductive Traits

Ujjwal Layek

Nitol Krishna Baghira

Alokesh Das

Arijit Kundu

and

Prakash Karmakar

Agriculture 2023, 13(8), 1563; https://doi.org/10.3390/agriculture13081563 - 04 Aug 2023

Abstract

Pollinators provide crucial ecosystem services, i.e., pollination, which determines crops’ reproductive fitness and yield. As pollinators decline, flowering crops might face pollination-deficit stress depending on their dependence on pollinators and pollinator availability. Here, we assessed the dependency of some crops (belonging to diverse plant families) on biotic pollinators based on their maximum reproductive potential in a supplementary pollination treatment and minimum reproductive success in a pollinator exclusion treatment. Additionally, we determined the pollen transfer limitation of the crops in open field conditions. We also determined the influence of the different reproductive traits with the index of dependency of crops on pollinators (IDP) and the coefficient of pollination deficit (D). Based on the values of IDP, members of Cucurbitaceae are obligatorily dependent on pollinators for their fruit set. Members of Brassicaceae and Rutaceae are highly reliant on pollinators. A few crops, like Lablab purpureus and Nigella sativa, are less dependent on pollinators. In open field conditions, most crops have a low pollination deficit, some without pollen transfer limitations, and only a few crops (Citrus × limon and Citrus maxima) show a higher pollination deficit. The IDP is negatively influenced by the pollen–ovule ratio, which also negatively affects the pollination deficit of the crops. This study will be useful in understanding and mitigating the effects of pollinator losses, as well as in choosing crops (those under pollination deficit stress and largely dependent on pollinators for fruit set) for supplemental pollination services to increase agricultural production. Full article

(This article belongs to the Special Issue Green and Sustainable Agricultural Ecosystem)

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Division of Cow Production Groups Based on SOLOv2 and Improved CNN-LSTM

and

Agriculture 2023, 13(8), 1562; https://doi.org/10.3390/agriculture13081562 - 04 Aug 2023

Abstract

Udder conformation traits interact with cow milk yield, and it is essential to study the udder characteristics at different levels of production to predict milk yield for managing cows on farms. This study aims to develop an effective method based on instance segmentation and an improved neural network to divide cow production groups according to udders of high- and low-yielding cows. Firstly, the SOLOv2 (Segmenting Objects by LOcations) method was utilized to finely segment the cow udders. Secondly, feature extraction and data processing were conducted to define several cow udder features. Finally, the improved CNN-LSTM (Convolution Neural Network-Long Short-Term Memory) neural network was adopted to classify high- and low-yielding udders. The research compared the improved CNN-LSTM model and the other five classifiers, and the results show that CNN-LSTM achieved an overall accuracy of 96.44%. The proposed method indicates that the SOLOv2 and CNN-LSTM methods combined with analysis of udder traits have the potential for assigning cows to different production groups. Full article

(This article belongs to the Special Issue Application of Vision Technology and Artificial Intelligence in Smart Farming)

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