Multi-Genotype Rice Yield Prediction Based on Time-Series Remote Sensing Images and Dynamic Process Clustering

Multi-Genotype Rice Yield Prediction Based on Time-Series Remote Sensing Images and Dynamic Process Clustering

Predicting rice yield in a timely, precise, and efficient manner is crucial for directing agricultural output and creating food policy. The goal of this work was to create a stable, high-precision estimate model for the yield prediction of multi-genotype rice combined with dynamic growth processes....

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Bibliographic Details
Main Authors: Qian Li, Shaoshuai Zhao, Lei Du, Shanjun Luo
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Agriculture
Subjects:
yield estimation
vegetation indices
canopy height
canopy volume
UAV
dynamic process clustering
Online Access:https://www.mdpi.com/2077-0472/15/1/64

Internet

https://www.mdpi.com/2077-0472/15/1/64

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