Machine Learning Techniques for Cereal Crops Yield Prediction: A Comprehensive Review
Cereals are sensitive to small changes in complex combinations of biotic and abiotic factors. Such a complexity can be deciphered using techniques such as Machine learning (ML). Using the PRISMA approach, this paper explores the features and ML techniques in cereal yield prediction based on 115 arti...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
ARQII PUBLICATION
2024-06-01
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| Serie: | Applications of Modelling and Simulation |
| Soggetti: | |
| Accesso online: | http://arqiipubl.com/ojs/index.php/AMS_Journal/article/view/622/186 |
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