Remote-Sensing Data and Deep-Learning Techniques in Crop Mapping and Yield Prediction: A Systematic Review

Reliable and timely crop-yield prediction and crop mapping are crucial for food security and decision making in the food industry and in agro-environmental management. The global coverage, rich spectral and spatial information and repetitive nature of remote sensing (RS) data have made them effectiv...

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Autores principales:	Abhasha Joshi, Biswajeet Pradhan, Shilpa Gite, Subrata Chakraborty
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2023-04-01
Colección:	Remote Sensing
Materias:	crop monitoring crop classification yield prediction deep learning convolutional neural network (CNN) recurrent neural network (RNN)
Acceso en línea:	https://www.mdpi.com/2072-4292/15/8/2014
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