Land Cover Classification using Hyperspectral Imagery: A Deep Learning Approach
利用高光谱影像和深度学习模型对印度两地区进行土地覆盖分类，比较CNN、ResNet-18和VGG-1
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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International Journal of Creative and Open Research in Engineering and Management·9月5日 · 周六48 分 论文农业AI与大模型智慧农业 / 农业物联网阅读 3
An Integrated AI-Based Crop Prediction and Advisory Platform for Precision Agriculture
提出SmartCrop AI平台，集成机器学习预测、土壤评估、AI咨询和市场价格信息，辅助精准农业决
Human-Centric, AI-Enabled Concurrent Engineering: Towards a cross-domain framework
提出人本AI并发工程框架，跨领域应用于农业等六场景。
Identifying mounting behaviour in boars using deep learning-based instance segmentation and binary classification - a pilot study
提出基于Mask R-CNN和SVM的猪爬跨行为自动检测方法，实现群养公猪连续监测。
Deep learning and computer vision framework for tomato insect classification with XAI insights
提出ResNet50-Fusion(ViT)混合深度学习模型，用于番茄害虫精准识别，准确率达97%。
RAVA: a robust recurrent active vision agent for plant disease diagnosis under severe environmental noise
提出RAVA，一种循环主动视觉智能体，通过主动观察应对环境噪声，提升植物病害诊断鲁棒性。
Integrating Geospatial Information and Artificial Intelligence for Irrigation Planning in Kwali Area Council, Federal Capital Territory, Nigeria
结合地理空间与AI评估尼日利亚Wako灌区适宜性，划分灌溉分区。
Artificial Intelligence and Large Language Models in Agricultural Extension: Critical Synthesis of Adoption, Efficacy, and Equity in Smallholder Advisory Systems
综述AI与LLM在农业推广中的应用，评估其采纳、效果与公平性，尤其关注小农户。
Lightweight Near-Infrared Spectral Reconstruction from Red UAV Imagery Using Artificial Intelligence for Low-Cost Remote Sensing
用仅含609个参数的MLP从UAV红光波段重建近红外波段，低成本替代多光谱相机。
PAT: An Image Analysis Tool for Automated Scoring of Pollen in Alexander-Stained Anthers
开发了花粉分析工具PAT，自动化评估花粉活力，并用于发现新的减数分裂抑制因子。
Deep Learning-Based Crop Disease Detection Using EfficientNet-B3 for Smart Agriculture
Deep Learning-Based Crop Disease Detection Using EfficientNet-B3 for Smart Agriculture。Research Square
Integrating Artificial Intelligence and IoT for Precision Farming: A Review of Agriculture 4.0 Technologies, Applications, and Challenges
综述AI与IoT在精准农业中的集成技术、应用与挑战，提出未来研究方向。
VGG21 Deep Learning + Drone Multispectral Imagery Detects Wheat Waterlogging Stress and Silicon Fertilizer Effects
用无人机多光谱和VGG21深度学习检测小麦涝害并评估硅肥效果。
International Journal for Research in Applied Science and Engineering Technology·9月3日 · 周四49 分 论文GIS与空间分析农业遥感与作物表型阅读 1
Random Forest-Based Groundwater Potential Zone Mapping in Latur District, Maharashtra, India
利用随机森林结合遥感与GIS绘制印度Latur地区地下水潜力图。
Super-Resolution-Assisted Farmland Boundary Extraction from Medium-Resolution Satellite Image: A Real-ESRGAN and YOLO Segmentation Framework
提出结合Real-ESRGAN超分辨率和YOLO分割的农田边界提取框架，提升中分辨率卫星影像识别精度
PlantC2USeg: Cross-Scale Consistent Pre-Training for Few-Shot Unified Plant Point Cloud Segmentation
提出PlantC2USeg，通过跨尺度一致性预训练实现少样本植物点云分割。
Deep convolutional neural network-based automated identification and classification of mungbean foliar diseases
评估五种深度卷积神经网络在自然田间条件下对绿豆叶部病害的识别性能。
Zenodo (CERN European Organization for Nuclear Research)·9月3日 · 周四57 分 论文农业AI与大模型智慧农业 / 农业物联网2 个信源同时报道 阅读 1
Smart Agronomy: Emerging Technologies and Sustainable Practices
综述智能农学新兴技术与可持续实践，重点评述第13章未来农学趋势与挑战。
Artificial intelligence adoption and food security in Saudi Arabia: the critical role of water-use efficiency management
研究沙特AI采用与粮食安全、水资源效率的动态关系，发现AI提升短期粮食安全与工业用水效率。
Artificial intelligence and agricultural production efficiency
利用中国省级面板数据，实证检验AI对农业生产效率的影响及机制转换。