Rice yield prediction using Bayesian analysis on rainfed lands in the Sumbing-Sindoro Toposequence, Indonesia

Rice yield prediction using Bayesian analysis on rainfed lands in the Sumbing-Sindoro Toposequence, Indonesia

Since rainfed rice fields typically lack nutrients, frequently experience drought, and require more fund to support farming operations, the production results become erratic and unpredictable. This research aims to construct location-specific rice yield predictions in the rainfed rice fields among t...

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Bibliographic Details
Main Authors: Abdul Aziz, Komariah, Dwi Priyo Ariyanto, Sumani
Format: Article
Language:English
Published: Zhytomyr National Agroecological University 2023-07-01
Series:Наукові горизонти
Subjects:
agricultural sustainability
bayesian neural network (bnn)
food security
rainfed rice field
yield prediction
Online Access:https://sciencehorizon.com.ua/en/journals/tom-26-7-2023/prognozuvannya-vrozhaynosti-risu-z-vikoristannyam-bayyesivskogo-analizu-na-bogarnikh-zemlyakh-u-toposektsiyi-sumbing-sindoro-indoneziya

Internet

https://sciencehorizon.com.ua/en/journals/tom-26-7-2023/prognozuvannya-vrozhaynosti-risu-z-vikoristannyam-bayyesivskogo-analizu-na-bogarnikh-zemlyakh-u-toposektsiyi-sumbing-sindoro-indoneziya

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