Method for ten-day assessment of the contribution of agrometeorological conditions to expected winter grain crop productivity based on satellite and ground-based information
提出一种基于卫星与地面数据每十天评估农业气象因子对冬粮作物产量贡献的方法。
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#作物估产
Enhanced crop yield estimation in smart agriculture via AI and IoT using the GODL geo-optimized algorithm
提出GODL算法，融合地理空间信息与深度学习，结合AI和IoT提升作物产量预测精度。
Temporal trend analysis and multi-temporal satellite feature integration for mango orchard acreage estimation using machine learning algorithms approach
融合多时相Sentinel-1/2与机器学习，估算印度芒果园面积并分析23年种植趋势。
Estimating Small Farming Plots’ Key Crop Production at a Regional Level Utilizing Sentinel Imagery in Southern Europe
利用Sentinel影像估算南欧小农地块关键作物面积与产量，并与官方统计对比验证。
Seeing the Green from Above: A Review of Remote Sensing Techniques for Vegetation Cover Discrimination
综述卫星、无人机与高光谱遥感在植被覆盖判别中的区域应用与互补能力。
Crop Yield Estimation with MODIS Derived Normalized Difference Vegetation Index and Comparative Study on Crop Yield Prediction Among Linear Regression, Random Forest and Gradient Boosting as Well as CatBoost
用MODIS NDVI与四种回归模型预测印度各邦作物产量，并做全国尺度验证。