Machine learning-based cotton yield forecasting under climate change for precision agriculture

The escalating threat of climate change presents a significant challenge to modern agriculture, with serious consequences for global food security. The impact of changing climate variables on crop productivity, particularly for key agricultural commodities, raises concerns about future yields. This...

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Veröffentlicht in:	Smart agricultural technology Jg. 12; S. 101117
Hauptverfasser:	Shahzad, Muhammad Umair, Tahir, Sana, Rashid, Javed, Khashan, Osama A., Ahmad, Rashid, Mansoor, Sheikh, Ghani, Anwar
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.12.2025 Elsevier
Schlagworte:	Climate change Cotton yield Deep learning Machine learning Prediction Smart agriculture Deep learning Smart agriculture Climate change Cotton yield Machine learning Prediction
ISSN:	2772-3755, 2772-3755
Online-Zugang:	Volltext
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