农业低碳转型视角下的数字农技服务体系:基于大晓智能无人农技服务平台的实证分析
实证分析数字农技服务平台如何通过多源感知与垂直大模型助力农业降碳,构建闭环管理模式。
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。
The Economics of Precision Agriculture (PA) and Resource Efficiency: Digital Technologies for Sustainable and Profitable Farming(MDPI Sustainability 2026, 18(15), 7512)
系统综述2004-2026年精准农业技术经济影响,发现其提升资源效率与盈利但受情境制约。
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。
Agentic, Autonomous and Explainable AI in Smart Agriculture: A Systematic Literature Review(MDPI Agronomy 2026, 16(17), 1690)
系统综述2016-2026年智慧农业中代理式、自主与可解释AI研究,揭示可解释性主导、自主性不足及验
Digital Technology Driving Agricultural Economic Resilience: Mechanism Analysis, Empirical Test, and Policy Implications(《智慧农业(中英文)》2026, 8(3): 203-214)
研究数字技术投入对中国农业经济韧性的影响及其机制。
Adoption and Challenges of Digital and Intelligent Technologies in Agriculture: Evidence from Two Representative Household Surveys(《智慧农业(中英文)》2026, 8(3): 51-66)
基于两次全国调查,评估中国农户对数字智能技术的采纳现状与挑战。
Evolution Characteristics and Optimizing Strategy of Smart Agriculture Policies in China: Based on "Tools-Topics-Objectives" Framework(《智慧农业(中英文)》2026年第3期)
分析中国智慧农业政策演进特征,提出优化策略。
Children and young people assessed by ambulance clinicians in a sparsely populated circumpolar region: non-conveyance and subsequent healthcare contacts in Northern Sweden
研究瑞典北部偏远地区儿童青少年经救护车评估后未转运的情况及后续医疗接触。
The Cotton Line: Testing the Institutional Persistence of an Erased Colonial Land-Tenure Boundary Across Vidarbha's Agrarian and Vegetation Geography
检验1853年英国殖民土地制度边界是否在21世纪仍留下空间印记。
SMFS-RF: a knowledge-guided machine-learning method for crop phenology extraction from fine-resolution vegetation index data
SMFS-RF: a knowledge-guided machine-learning method for crop phenology extraction from fine-resolution vegetation index data。Remote Sensing of Environment
Google Earth Engine-Based Random Forest Classification of Land Use/Land Cover Change in Mojolaban, Sukoharjo
利用GEE和随机森林分类,监测2004-2024年城乡过渡区土地利用变化,精度高。
Predictive Modelling of Deforestation Susceptibility in Sanjay Gandhi National Park Using Machine Learning and Remote Sensing Technologies
Predictive Modelling of Deforestation Susceptibility in Sanjay Gandhi National Park Using Machine Learning and Remote Sensing Technologies。Sensing and Imaging
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
Remote Sensing and GIS-Based Spatial Planning of Soil and Water Conservation Measures in a Semi-Arid Watershed Maliwadgaon of Maharashtra, India
利用遥感和GIS对半干旱流域进行水土保持措施的空间规划与选址。
Assessment of water use efficiency in arid ecosystems of the coastal land of Egypt using MODIS dataset
利用MODIS数据评估埃及沿海干旱生态系统水分利用效率的时空格局及土地利用影响。
Urbanization induced LULC transformation, its effects on land surface temperature and spectral index responses in Adama city, Ethiopia
利用Landsat影像分析埃塞俄比亚Adama市城市化引起的土地利用变化及其对地表温度和光谱指数的影
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