Real-time hass avocado ripeness detection using close-range UAV imagery and YOLO-based deep learning
用无人机近景图像和YOLO深度学习实时检测哈斯鳄梨成熟度，实现精准农业应用。
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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Knowledge-guided deep learning improves estimation of rice aboveground biomass
提出知识引导的深度学习模型，提高水稻地上生物量估算精度。
农业大模型在田间地头的落地实践：伏羲大脑"佳家农"智慧农服平台案例研究
介绍伏羲大脑农业大模型在佳木斯农高区的落地实践，通过手机和卫星数据提供农事指导，服务超5.6万农户。
APPLICATION OF ARTIFICIAL INTELLIGENCE IN SOIL FERTILITY ASSESSMENT AND CROP YIELD PREDICTION IN SOUTHWEST NIGERIA: A STATISTICAL APPROACH
研究AI在尼日利亚西南部土壤肥力评估和作物产量预测中的应用，发现随机森林模型表现最佳。
Prediction of lactation milk yields using machine learning based on milk production data and reproduction performance indicators
用机器学习基于生产和繁殖数据预测奶牛总泌乳量，Extra Trees表现最佳。
Continuous monitoring of deficit irrigation in avocado across two contrasting rainfall years using sensor networks, telemetry, and machine learning
通过传感器、遥感和机器学习连续监测两年不同降雨下鳄梨的亏缺灌溉响应。
Deep learning technique for rice leaf disease classification and severity level identification via Hybrid ResConvolutional Neural Network
提出混合Res卷积神经网络用于水稻叶部病害分类与严重度识别，结合物联网数据采集。
AN ADAPTIVE FEDERATED DEEP LEARNING FRAMEWORK FOR SECURE AND PRIVACY PRESERVING PRECISION AGRICULTURE IN DISTRIBUTED IOT NETWORKS | Kashf Journal of Multidisciplinary Research
AN ADAPTIVE FEDERATED DEEP LEARNING FRAMEWORK FOR SECURE AND PRIVACY PRESERVING PRECISION AGRICULTURE IN DISTRIBUTED IOT NETWORKS | Kashf Journal of Multidisciplinary Research。OpenAlex
Explainable AI for Precision Agriculture: Fine-Grained Plant Pathology Localization Using ConvNeXt-Tiny and Residual Spatial Attention Module Palvi Sharma
提出结合ConvNeXt-Tiny与残差空间注意力模块的框架，实现多作物病害细粒度分类与可解释定位。
International Journal of Computer Applications Technology and Research·9月7日 · 周一57 分 论文农业AI与大模型智慧农业 / 农业物联网阅读 1
Usage of Vermicompost Farming Enhanced Machine Learning
提出基于物联网和机器学习的蚯蚓粪种植智能灌溉系统，优化灌溉调度。
International Research Journal on Advanced Engineering Hub (IRJAEH)·9月7日 · 周一40 分 论文农业AI与大模型智慧农业 / 农业物联网阅读 1
Ai Based Smart Crop Recommendation and Yield Prediction Using Ml and Weather Analytics
提出AI框架，结合机器学习与天气分析，推荐作物并预测产量。
Decoding Electro-Priming responses in cotton using an integrated taguchi-machine learning framework for optimizing seed performance
用田口-机器学习框架优化棉花种子电引发处理，提升种子性能。
Multi-Source Perception, Intelligent Decision-Making, and Precision Control for Autonomous Agricultural Systems: A Comprehensive Review（MDPI Sensors 26(17) 5680）
综述自主农业系统的多源感知、智能决策与精准控制技术进展。
Artificial Intelligence for Environmental Monitoring and Sustainable Development
探讨AI在环境监测与可持续发展中的作用，聚焦尼日利亚，涵盖遥感、水质、废物管理等应用。
International Journal of Artificial Intelligence and Machine Learning 2026, 6(9s)·9月5日 · 周六81 分 论文大豆与油料农业人工智能与决策模型阅读 2
From Orbit to Leaf: A Critical Systematic Review of Artificial Intelligence for Multi-Scale Crop Monitoring and Soybean Leaf Disease Diagnosis（IJAIML 2026, 6(9s), 471-498）
系统综述AI用于多尺度作物监测与大豆叶病诊断，提出FRI评估标准与报告协议。
Advances in Recognition Methods for Fruit and Vegetable Harvesting（MDPI Agriculture 2026, 16(17), 1924）
综述果蔬采摘目标识别方法，分析数字图像、机器学习与深度学习技术，指出挑战与未来方向。
A Review of Agricultural Intelligent Architecture: The Application and Challenges of Artificial Intelligence in Agricultural Perception, Decision-Making, and Execution（MDPI Applied Sciences 2026, 16(12), 5865）
综述农业人工智能在感知、决策、执行中的应用与挑战，提出未来研究方向。
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
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 2
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。