1903 papers
This study identifies Stage 3 as the optimal harvest maturity for apricots based on superior postharvest quality retention and develops a lightweight deep learning model using RGB images to rapidly and non-destructively classify maturity stages for improved harvest decision-making.
This study evaluates recycled construction and demolition waste from four Brazilian cities as a potential soil remineralizer, finding that while its chemical composition supports agricultural use, significant compositional variability both between and within regions necessitates careful assessment of its suitability.
This study demonstrates that combining elemental fingerprinting via NAA and ICP-MS with machine learning algorithms can achieve 100% accuracy in authenticating beef from the Brazilian Cerrado terroir.
This study evaluates a domestically produced indirect ELISA kit for diagnosing bovine brucellosis in Iran, finding it to be a highly sensitive, specific, and cost-effective alternative that outperforms the traditional Rose Bengal Plate Test in specificity while demonstrating excellent agreement with confirmatory serological and molecular methods.
This study characterizes the morphometrics, developmental biology, and annual life cycle of the tea pest *Oligonychus coffeae* under laboratory and semi-field conditions in Palampur, revealing significant differences in generation times and identifying temperature and humidity as key environmental factors influencing its population dynamics.
This study investigates the economic and food security impacts of paddy field conversion in peri-urban Indonesia, identifying key driving factors and proposing compensation-based policy incentives derived from farmers' willingness to accept payments to mitigate land loss and ensure food self-sufficiency by 2045.
This study utilized Response Surface Methodology to optimize microwave-assisted digestion parameters, identifying a unified acid mixture of 47.4% HNO₃ and 5.8% H₂O₂ that achieves approximately 94% extraction efficiency for 13 minerals across diverse food matrices with varying protein-fat-carbohydrate profiles.
This study demonstrates that predicting nitrogen supply for short-cycle leafy vegetables is significantly improved by integrating rhizosphere inorganic nitrogen availability, physically accessible soil organic matter fractions, and soil texture, rather than relying solely on pre-sowing soil mineral nitrogen.
Seed treatment with the elicitor protein HrpNEA significantly improved maize grain yield by 21.7% under rainfed, drought-prone conditions by enhancing stand establishment, root system architecture, nitrogen metabolism, and antioxidant responses, which collectively drove increased individual kernel weight.
This study employs social network analysis to map Ethiopia's domestic cattle trade across Tigray, Oromia, and Addis Ababa, revealing a sparsely connected, scale-free network with small-world properties and strong regional assortativity that identifies key markets for targeted interventions.