Articles

WATER STRESS ESTIMATION OF TOMATO CANOPY BASED ON MACHINE VISION

Article number
440_68
Pages
389 – 394
Language
Abstract
A machine vision algorithm for estimating water potential of a tomato canopy was developed.
The algorithm extracted lines reflecting inclinations of rachises of tomato plants from the whole canopy image obtained from a fixed position slightly above the canopy.
The average incline of the extracted lines correlated well with water potential of tomato plants.
This algorithm can be implemented in an automated irrigation system.

Publication
Authors
K. Kurata, J. Yan
Keywords
automation, irrigation, Lycopersicon esculentum Mill., machine vision, tomato, water potential
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