agriculture papers | Gist.Science

Assessing served portions plate waste and student acceptability in the Indonesian Free Nutritious Meal Program at a vocational high school

This study evaluates the Indonesian Free Nutritious Meal Program at a vocational high school, revealing that while animal-source dishes and staples are well-accepted, vegetables and plant-based sides face significant challenges due to low acceptability, high plate waste, and portion inconsistencies, necessitating targeted menu reformulation and standardization.

Ai Nurhayati, M. Muktiarni, Rita Patriasih, Ai Mahmudatusaadah, Tati Setiawati2026-09-08

📄 agriculture

Multilocus Characterization of ‘Candidatus Phytoplasma asteris’ (16SrI-B) Associated with Phyllody and Witches’ Broom in Sesamum latifolium, S. angolense and S. angustifolium

This study reports the first multilocus characterization of 'Candidatus Phytoplasma asteris' (16SrI-B) in three wild sesame species (*S. angolense*, *S. angustifolium*, and *S. latifolium*), identifying them as natural reservoirs for this pathogen based on their phyllody and witches' broom symptoms and genetic confirmation via 16S rRNA and *tuf* gene sequencing.

Thirumalaisamy PP, Parameswari B, Karthikaiselvi L, Sivasankarreddy K, Sakthivel K, Suma A, Pradheep K, Rashmi Yadav, Pr (…)2026-09-08

📄 agriculture

Scaling native hedgerows in Mediterranean greenhouse horticulture requires alignment of farm design, learning, and governance

This study reveals that scaling native hedgerows in Mediterranean greenhouse horticulture depends not merely on awareness of pest control benefits, but on a coupled-innovation configuration that aligns farm-compatible ecological design, situated learning through trusted networks, and institutional governance to overcome spatial, legal, and coordination barriers.

Irene Pérez-Ramírez, Enrica Garau, Nora Schütze, Juan Miguel Requena-Mullor, Álvaro Peláez-Pérez, Gabriela De Abreu, Ant (…)2026-09-08

📄 agriculture

Application of Machine Learning Random Forest Algorithm in Digital Soil Mapping of Key Soil Properties for Sustainable Tea Productivity

This study demonstrates that a Random Forest machine learning algorithm integrated with SCORPAN-based environmental covariates can effectively predict key soil properties in Tanzania's Ganyange Ward, generating spatial maps that reveal moderately favorable, acidic conditions for sustainable tea productivity and serving as a valuable decision-support tool for land-use planning.

Finias F. Mwesige, Boniface H. J. Massawe, Hilda G. Sanga, Braison E. Mjanja, Erasto Focus2026-09-08

📄 agriculture

Morphological and Antioxidant Responses to Chromium-Induced and Metal Accumulation in Contrasting Tomato Cultivars

This study demonstrates that the Red Pearl tomato cultivar exhibits superior chromium tolerance compared to Purple Beauty through enhanced antioxidant defenses and efficient root sequestration, making it a promising candidate for cultivation in moderately chromium-contaminated soils.

Mahendar Kumar Sootahar, Abdul Ghafoor, Mukesh Kumar Soothar, Muhammad Naeem Sattar, Kashif Ali Kubar, Babiker M. A Abde (…)2026-09-08

📄 agriculture

Explainable AI for Agricultural Climate-Risk Prediction: A Systematic Review of Progress and Strategic Roadmap

This systematic review evaluates the progress of Explainable AI in agricultural climate-risk prediction from 2021 to 2026, highlighting the trade-off between high predictive accuracy and the "black-box" limitations of current models while proposing a strategic roadmap centered on "Explainability-by-Design," federated learning, and uncertainty-aware forecasting to bridge the gap between technical performance and practical field adoption.

Jacintha Menezes, Rishabh Kant Jha, Jia Bernadette D Souza2026-09-08

📄 agriculture

A Multimodal Deep Learning Approach to Bacterial Wilt Detection in Ginger Plants

This study proposes a multimodal deep learning approach for detecting bacterial wilt in ginger plants, demonstrating that a hybrid CNN + Graph Neural Network (GNN) model outperforms CNN + RNN and CNN + Vision Transformer combinations by achieving a superior accuracy of 96.85%.

Gagana S, Ravi Kumar V, Vinay B K, Kavitha Sooda2026-09-08

📄 agriculture

Physics-Informed Neural Network for Daily Canopy Size Forecasting in Strawberry Production Using Fused Weather and Image Embeddings

This study developed a hybrid Physics-Informed Neural Network (PINN) that fuses weather data and image-derived green pixel counts to accurately forecast daily strawberry canopy volume, demonstrating superior performance over baseline models for two commercial cultivars under real-world field conditions.

Rohan Bagulwar, Won Suk Lee, Shinsuke Agehara, Hongyoung Jeon, Heping Zhu2026-09-08

📄 agriculture

Common Bean (Phaseolus vulgaris L.) Yield Response to Coffee Husk Biochar and NPSB Fertilizer in Southwest Ethiopia

A 2025 field study in Southwest Ethiopia demonstrated that applying 5 t ha⁻¹ of coffee husk biochar combined with 150 kg ha⁻¹ of NPSB fertilizer significantly enhances common bean growth, yield, and economic returns compared to other treatment combinations.

Isreal Zewide, Tekalign Argaw, Tamirat Wato2026-09-08

📄 agriculture

Epidemiological characterization of bacterial pathogens and antimicrobial resistance profiles in porcine respiratory disease complex in Jiangxi Province, China

This study characterizes the epidemiology and antimicrobial resistance of bacterial pathogens in porcine respiratory disease complex across Jiangxi Province, China, identifying *Escherichia coli* and *Streptococcus suis* as dominant agents with distinct age-related infection patterns and severe multidrug resistance, particularly in *E. coli*, to inform evidence-based control strategies.

Mei-Fang Tan, Chen-Long Liu, Quan-Yong Zhou, Qun Yang, Ting Gao, Ming-Chun Wan, Hong-Ping Jiang, Hua-Yuan Ji2026-09-08

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