APPLICATION POTENTIAL OF UNMANNED AERIAL VEHICLES AND TRENDS IN THEIR DEVELOPMENT
综述无人机应用潜力与发展趋势，强调其向自主化、网络化、数据驱动系统演进。
农业AI与大模型
人工智能算法、大模型与决策支持系统
技术筛选 · 已选 1 项
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Bridging the performance–efficiency gap: a resource-efficient hybrid DL-ML framework for jackfruit disease detection
提出轻量CNN与EfficientNet-B0混合特征提取、PCA降维和堆叠集成分类的菠萝蜜病害检测
AGRISIGHT AI: A ConvNeXtV2-Based Deep Learning Framework for Crop Disease Classification with a Proposed Multimodal Extension for Precision Agriculture
AGRISIGHT AI: A ConvNeXtV2-Based Deep Learning Framework for Crop Disease Classification with a Proposed Multimodal Extension for Precision Agriculture。Research Square
BIG DATA IN AGRONOMY: TECHNOLOGIES, APPLICATIONS, BENEFITS AND CHALLENGES
综述农学大数据的技术、应用、效益与挑战，强调多源数据融合支撑精准农业决策。
Zenodo (CERN European Organization for Nuclear Research)·10月5日 · 周一60 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 2
Deep Learning for Early Disease Identification in Leaves: A Pathway to Sustainable Mango Production
综述深度学习与计算机视觉在芒果叶片病害早期识别中的应用，梳理三代技术并展望可持续种植。
A Machine Learning Approach for Cassava Leaf Disease Identification Using Constraint-Regularized Neural Networks and AJFO Meta-Optimization
提出融合RMUNet分割、CRNN与AJFO优化的木薯叶病害识别框架，实现高精度分类。
Zenodo (CERN European Organization for Nuclear Research)·10月4日 · 周日67 分 论文果树数字乡村与农业信息化2 个信源同时报道 阅读 1
Detection of Apple Plant Diseases Using Leaf Images through Convolutional Neural Network
提出ResNet+GA+CNN混合模型，用苹果叶片图像检测病害并计算病斑面积占比。
The Changing Landscape of Plant Disease Detection: The Role of Artificial Intelligence
综述AI在植物病害检测中的应用，涵盖分类、检测、分割及早期诊断，并指出田间部署的瓶颈与新兴方向。
Artificial Intelligence in Agriculture: Enhancing Yield and Sustainable Farming Practices among Farmers in India
基于二手数据综述AI在印度农业中提升产量与可持续性的应用及障碍。
An Intelligent LLM–Fuzzy Decision Support and Digital Twin Framework for Adaptive Agricultural Robotics Systems
提出LLM-模糊决策与数字孪生框架，用于自适应农业机器人协同决策。
Sustainability intelligence: Integrating Artificial Intelligence, the Internet of Things, and Digital Twins for resource-efficient and climate-resilient systems
综述AI、物联网与数字孪生融合的可持续性智能，提出七层SIF框架。
Use of artificial intelligence (AI) in vegetable crops: A review
综述人工智能在蔬菜作物生产中的应用，涵盖监测、诊断、灌溉、产量预测与采收机器人。
YOLOv8-MST: a lightweight and efficient real-time detection and counting deep learning algorithm for double-grain peanut seeding
提出YOLOv8-MST轻量算法，实现双粒花生播种实时检测与计数。
UAV-based RGB imagery and supervised–unsupervised machine learning for estimating sorghum biomass and grain yield under water and nitrogen stress
用无人机RGB影像与机器学习估算水分氮胁迫下高粱生物量和产量。
Zenodo (CERN European Organization for Nuclear Research)·9月30日 · 周三69 分 论文农业AI与大模型农业人工智能与决策模型2 个信源同时报道 阅读 3
Artificial Intelligence for Sustainable Development: Opportunities, Innovations, and Systemic Risks
综述AI在可持续发展目标中的应用机遇、创新与系统性风险。
Leveraging on Artificial Intelligence Technology in Boosting Cassava Production in Nigeria: The Gains and Constraints
分析AI在尼日利亚木薯生产中的应用收益与制约因素。
International Journal of Pattern Recognition and Artificial Intelligence·9月30日 · 周三76 分 论文物联网传感与边缘计算智慧农业 / 农业物联网阅读 1
InResKolArno_SCO: An Efficient Plant Disease Classification Framework for IoT-Enabled Smart Agriculture
提出InResKolArno_SCO混合框架，用于物联网智慧农业中的植物病害分类。
Machine learning classification techniques for smart agriculture: a review of disease detection and crop recommendation
综述2023-2026年30篇文献，评估物联网与机器学习在作物病害检测和推荐中的应用。
An Automata-Driven Cognitive Explainable Artificial Intelligence Framework for Climate-Adaptive Precision Agriculture and Environmental Sustainability
An Automata-Driven Cognitive Explainable Artificial Intelligence Framework for Climate-Adaptive Precision Agriculture and Environmental Sustainability。Cureus Journal of Computer Science.
An agronomically informed framework for temporally transferable yield prediction
提出农学知情框架，结合最优物候期与密度产量制图，实现跨季节可迁移的产量预测。