Model for Predicting Rice Yield from Reflectance Index and Weather Variables in Lowland Rice Fields

Model for Predicting Rice Yield from Reflectance Index and Weather Variables in Lowland Rice Fields

Smallholder rice farmers need a multi-purpose model to forecast yield and manage limited resources such as fertiliser, irrigation water supply in-season, thus optimising inputs and increasing rice yield. Active sensing tools like Canopeo and GreenSeeker-NDVI have provided the opportunity to monitor...

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Bibliographic Details
Main Authors: Chinaza B. Onwuchekwa-Henry, Floris Van Ogtrop, Rose Roche, Daniel K. Y. Tan
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Agriculture
Subjects:
rice
yield prediction
generalised additive model
active remote sensors
Online Access:https://www.mdpi.com/2077-0472/12/2/130

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