Predicting crop yields using a new robust Bayesian averaging model based on multiple hybrid ANFIS and MLP models

Predicting crop yields using a new robust Bayesian averaging model based on multiple hybrid ANFIS and MLP models

Predicting crop yield is an important issue for farmers. Food security is important for decision-makers. The agriculture industry can more accurately supply human demand for food if the crop yield is predicted accurately. Tomato is one of the most important crops so that 160 million tonnes of tomato...

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Bibliographic Details
Main Authors: Bazrafshan, Ommolbanin, Ehteram, Mohammad, Latif, Sarmad Dashti, Huang, Yuk Feng, Teo, Fang Yenn, Ahmed, Ali Najah, Ahmed El-Shafie, Ahmed Hussein Kamel
Format: Article
Published: Elsevier 2022
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.um.edu.my/42355/
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Institution: Universiti Malaya

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http://eprints.um.edu.my/42355/

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