Image based Crop Monitoring Technologies in Protected Horticulture: A Review
Namal Jayasuriya, Yi Guo, Wen Hu, Oula Ghannoum

TL;DR
This review discusses image-based crop monitoring technologies in protected horticulture, highlighting current systems, camera technologies, and future challenges in monitoring taller crops in semi-controlled environments.
Contribution
It provides a comprehensive overview of existing crop phenotyping platforms and explores future research directions for commercial-scale protected crop monitoring.
Findings
Various camera technologies are used for plant trait extraction.
Current systems mainly focus on small or short plants.
Future challenges include monitoring taller crops in semi-controlled environments.
Abstract
Future food security is a major concern of the 21st century with the growing global population and climate changes. In addressing these challenges, protected cropping ensures food production year-round and increases crop production per land area by controlling environment conditions. Maintaining the growth and health of crops in these facilities is essential to ensure optimum food production. However, this is a laborious work and is currently done manually. Image-based non-destructive plant phenotyping is an emerging research area that reduces the skilled labour cost while enhancing the monitoring of crop growth, health, and identifying phenotype-genotype relations for plant breeding. With the proliferations of protected infrastructures and targeted plants, different technologies and sensor setups are needed for image-based crop monitoring. Conveyor-type plant-to-sensor systems,…
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Taxonomy
TopicsSmart Agriculture and AI
