An Ensemble Machine Learning Framework for Cotton Crop Yield Prediction Using Weather Parameters: A Case Study of Pakistan

In Pakistan, agriculture is one of the most common and least lucrative professions. It provides between 18% and 25% of Pakistan’s overall gross domestic product (GDP). The majority of Pakistan’s crops, like cotton, are completely weather-dependent. Regarding this, farmers are constantl...

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Bibliografski detalji

Glavni autori:	Syed Tahseen Haider, Wenping Ge, Jianqiang Li, Saif Ur Rehman, Azhar Imran, Mohamed Abdel Fattah Sharaf, Syed Muhammad Haider
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2024-01-01
Serija:	IEEE Access
Teme:	Cotton machine learning climatic change yield weather
Online pristup:	https://ieeexplore.ieee.org/document/10664030/
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