Multi-omics and artificial intelligence for climate-resilient and nutrient-enriched food crops: advances, applications and future perspectives
综述AI赋能多组学、基因编辑与精准农业，培育气候韧性与营养强化作物。
农业AI与大模型
人工智能算法、大模型与决策支持系统
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A deep learning-enhanced vision system for precision target spraying in chinese cabbage cultivation
A deep learning-enhanced vision system for precision target spraying in chinese cabbage cultivation。Precision Agriculture
Mastitis detection in dairy cows with varying postures using infrared thermography based on YOLOv8n-improved and random forest models
用改进YOLOv8n与随机森林，通过红外热成像实现奶牛不同姿态下的乳腺炎自动检测。
AI Framework Estimates Crop Water Stress from Satellite Data in Egypt's Nile Delta
用MODIS数据与机器学习框架估算埃及尼罗河三角洲农田水分胁迫。
YOLO-Based Deep Learning Pipeline for Detecting Nutrient Deficiency Symptoms in Roselle (Hibiscus sabdariffa L.)
用YOLO系列模型检测玫瑰茄钙钾铁磷缺乏的视觉症状。
Effects of Noise on the Accuracy of Estimating Rootzone Total Soil Moisture Using a Non‐Linear Autoregressive Exogenous Machine Learning Model for Precision Agriculture
该论文评估了测量噪声对NARX机器学习模型估算根区土壤水分动态精度的影响。
Bulletin of the National Research Centre/Bulletin of the National Research Center·9月14日 · 周一77 分 论文农业AI与大模型农业人工智能与决策模型阅读 2
Evidence integrity and review utility in crop-image decision support: an audit-to-review framework for precision agriculture
提出审计到评审框架，先固定证据身份再比较作物图像分类器，并关联预测不确定性与评审工作量。
International Journal of Computer Science and Artificial Intelligence·9月14日 · 周一0 分 论文农业AI与大模型农业人工智能与决策模型阅读 3
Artificial Intelligence, Machine Learning, and Deep Learning Concepts, Methods, and Real-World Impact
系统综述AI、机器学习与深度学习的概念、方法、应用及伦理挑战。
A Counterfactual-Enabled Agricultural Decision Support Framework for Sustainability-Aware Groundnut Yield Prediction Using Bayesian-Optimized XGBoost
提出TSAFI-DT数字孪生框架，用贝叶斯优化XGBoost预测印度花生产量并做反事实情景分析。
Deep learning-based detection and counting of wheat seeds: Comparative benchmarking of YOLO models
用自建RGB小麦种子数据集对比YOLOv8n与YOLO11n的检测计数性能。
AI-Driven Transformation in Sustainable Agriculture: A Systematic Review
系统综述AI在可持续农业中的应用，分析生产力与可持续性影响及推广障碍。
Artificial Intelligence-Based Intelligent Fertigation Recommendation Systems for Precision Agriculture
综述AI施肥推荐研究，并用马哈拉施特拉数据集比较七种分类器，提出可审计智能施肥推荐框架。
Deep learning-based classification of wet direct seeded rice, broadcasted direct seeded rice and transplanted rice using drone imagery for precision agriculture
用无人机可见光影像和深度学习模型区分直播稻、湿直播稻与移栽稻三种水稻种植方式。
Evaluation of hybrid models based on image segmentation and inference for pig weight estimation
用YOLOv8n-seg分割猪体并提取EfficientNet特征，结合回归模型实现非侵入式猪体重估
Artificial Intelligence-Based Crop Recommendation Using Soil and Climate Data: A Comprehensive Review of Machine Learning, Deep Learning, and Smart Agriculture Approaches
综述AI作物推荐研究，指出高准确率多源于数据与验证缺陷。
A continually evolving knowledge-guided deep learning framework for daily maize yield formation
提出知识引导的深度学习框架AgroEvoDeep-Yield，实现玉米逐日产量形成的可解释模拟与持续
Agentic AI for Livestock Housing Management: Applications, Benchmarking, and Readiness Assessment
综述90篇文献，提出PRAS框架与就绪度量表，评估智能体AI在畜舍管理中的应用与成熟度。
CBAM-LeafGAN: A selective attention-guided StyleGAN framework for mango leaf disease image synthesis and explainable recognition
提出CBAM-LeafGAN，用选择性注意力增强StyleGAN3合成芒果叶病图像并提升识别可解释性
露地白萝卜定植收获农机农艺垂直大模型调优方法研究(NRA-LoRA, Qwen3-4B LLM-Metric 84.32)
提出NRA-LoRA微调方法，构建农机农艺知识数据集，提升白萝卜定植收获垂直大模型性能。
BiFormer-Enhanced YOLOv11n for Accurate Maize Ear Detection in Seed Production Fields(玉米穗识别 BiF-YOLO)
提出BiF-YOLO模型，在制种田实现玉米穗精准检测。