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ISHS Acta Horticulturae 440: International Symposium on Plant Production in Closed Ecosystems

WATER STRESS ESTIMATION OF TOMATO CANOPY BASED ON MACHINE VISION

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

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