Improving Wheat Yield Prediction with Multi-Source Remote Sensing Data and Machine Learning in Arid Regions

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Detalles Bibliográficos
Publicado en:	Remote Sensing vol. 17, no. 5 (2025), p. 774
Autor principal:	Raza, Aamir
Otros Autores:	Shahid, Muhammad Adnan, Zaman, Muhammad, Miao, Yuxin, Huang, Yanbo, Safdar, Muhammad, Maqbool, Sheraz, Muhammad, Nalain E
Publicado:	MDPI AG
Materias:	Pakistan Vegetation Wheat Food security Accuracy Grain Agricultural production Crop yield Models Arid zones Water shortages Productivity Remote sensing Crops Data analysis Hydrology Machine learning Irrigation Climate change Learning algorithms Decision trees Growth models Precipitation Climatic data Predictions Arid regions Performance assessment Windows (intervals) Normalized difference vegetative index
Acceso en línea:	Citation/Abstract Full Text + Graphics Full Text - PDF
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