Prediction of Wheat Yield by Novel SDC-LSTM Framework

Abstract Agriculture is the primary source of income for each country, serving as its mainstay. A promising study topic has been predicting wheat production based on environmental, soil, and water characteristics. Deep-learning-based algorithms are widely employed in crop prediction to extract signi...

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Detaylı Bibliyografya
Asıl Yazarlar:	Nandini Babbar, Ashish Kumar, Vivek Kumar Verma
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	Instituto de Tecnologia do Paraná (Tecpar) 2024-05-01
Seri Bilgileri:	Brazilian Archives of Biology and Technology
Konular:	Wheat-yield prediction Machine learning (ML) Deep learning Convolution Neural Networks (CNN) Long Short-Term Memory (LSTM)
Online Erişim:	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132024000100508&tlng=en
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Prediction of Wheat Yield by Novel SDC-LSTM Framework

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