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。
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数字农业与前沿技术 · 细分方向
农业AI与大模型
人工智能算法、大模型与决策支持系统
687 篇内容
切换同领域方向
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。
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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。
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Intelligent Prediction of Spray Distribution and Hydraulic Behavior in an Automatic Spraying Machine for Precision Agriculture
用机器学习预测自动喷雾机的流量、喷幅、角度和重叠，实现精准农业。
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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。
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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。
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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。
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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。
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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
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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。
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Smart Technologies for Precision Nutrient Management in Smallholder Farming: A Comprehensive Review
综述小农户精准养分管理技术，分析其适用性、经济可行性与采纳障碍。
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Engineering of Smart Agriculture—2nd Edition
综述智慧农业工程中数字技术、测量系统与AI的应用与发展趋势。
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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。
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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。
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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。
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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。
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From pasture to platform integrating agrivoltaics and green hydrogen for the Penzance–London railway corridor
评估英国铁路走廊采用农光互补与绿氢的可行性，集成多种光伏与农业模型。
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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。
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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。
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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。
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