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: Ommolbanin Bazrafshan, Mohammad Ehteram, Sarmad Dashti Latif, Yuk Feng Huang, Fang Yenn Teo, Ali Najah Ahmed, Ahmed El-Shafie
Format: Article
Language:English
Published: Elsevier 2022-09-01
Series:Ain Shams Engineering Journal
Subjects:
Crop yield
Agriculture
ANFIS
MLP
Climate parameters
Online Access:http://www.sciencedirect.com/science/article/pii/S2090447922000351

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