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。
Mining Externalities and Climate-Smart Agriculture Portfolios: Evidence from Mining-Affected Communities in Ghana
研究加纳矿区农户气候智慧型农业组合的广度与构成,发现采矿压力与CSA组合无统一关系。
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。
DASO-RiceNet: 细粒度水稻病害与损伤分类的双注意力序列优化网络(准确率 96.5%)
提出双注意力序列优化网络DASO-RiceNet,实现10类水稻病害与损伤的高精度分类。
Mapping urban expansion and land transformation in Dhaka, Bangladesh by fusing night-time lights, thermal, and spectral data via machine learning approaches
融合夜间灯光、热红外与光谱数据,用机器学习精准监测达卡2016-2024年城市扩张与土地转化。
Do Agricultural Subsidy Profiles Signal Bank-Authorized Lending? A Two-Stage Interpretable Machine Learning Analysis of Credit Access and Allocation
基于北京2970家农业主体行政记录,用两阶段可解释机器学习分析补贴档案与银行授权信贷的关联。
A real-time forecasting framework for emerging infectious diseases affecting animal populations
提出一个利用疫情早期数据实时预测牲畜传染病时空传播的通用建模框架。
Quality Assessment of Scotch Bonnet Pepper (Capsicum Chinense Jacq) Using Image Processing Techniques
用图像处理和CNN/SVM/逻辑回归对苏格兰帽椒进行好坏二分类质量分级。
An optimized machine learning approach for reliable agronomic parameter prediction in precision farming systems
提出优化机器学习框架,用土壤环境数据预测农艺参数并分类菠菜生长阶段。