机译:通过结合作物模拟模型WOFOST和遥感输入来预测印度旁遮普邦的小麦单产
Agriculture, Terrestrial Biosphere and Hydrology Group, EPSA, Space Applications Centre, ISRO, Ahmedabad 380 015, India;
Agriculture, Terrestrial Biosphere and Hydrology Group, EPSA, Space Applications Centre, ISRO, Ahmedabad 380 015, India;
Department of Agricultural Meteorology, Punjab Agricultural University,Ludhiana, India;
Agriculture, Terrestrial Biosphere and Hydrology Group, EPSA, Space Applications Centre, ISRO, Ahmedabad 380 015, India;
Agriculture, Terrestrial Biosphere and Hydrology Group, EPSA, Space Applications Centre, ISRO, Ahmedabad 380 015, India;
Agriculture, Terrestrial Biosphere and Hydrology Group, EPSA, Space Applications Centre, ISRO, Ahmedabad 380 015, India;
Agriculture, Terrestrial Biosphere and Hydrology Group, EPSA, Space Applications Centre, ISRO, Ahmedabad 380 015, India;
机译:基于遥感农机趋势模型的印度旁遮普邦Hoshiarpur区小麦产量预测
机译:利用SUBPLEX算法将遥感LAI融合到WOFOST模型中,以改善大田红枣产量预报
机译:通过将三种远程感测的反射数据集吸收到耦合WOFOST - 扶梯模型中,评估冬小麦产量的区域估计
机译:基于全局优化算法的史诗模型与遥感LAI相结合的区域冬小麦产量模拟
机译:基于神经网络的作物生长模型可使用遥感数据在特定地点预测番茄的加工产量。
机译:四种作物模型在整个播种期模拟小麦物候,叶片生长,生物量和产量的表现
机译:利用印度旁遮普邦旁遮普省Hoshiarpur区的远程感知的Agromet趋势模型的小麦产量预测