Computer Vision with Deep Learning for Plant Phenotyping in Agriculture: A Survey

• URL: http://arxiv.org/abs/2006.11391v1
• Date: Thu, 18 Jun 2020 14:21:19 GMT
• Title: Computer Vision with Deep Learning for Plant Phenotyping in Agriculture: A Survey
• Authors: Akshay L Chandra, Sai Vikas Desai, Wei Guo, Vineeth N Balasubramanian
• Abstract summary: Precision agriculture techniques allow the stakeholders to make effective and customized crop management decisions. Plant phenotyping techniques play a major role in accurate crop monitoring. This survey aims to introduce the reader to the state of the art research in deep plant phenotyping.
• Score: 25.365163119362045
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: In light of growing challenges in agriculture with ever growing food demand across the world, efficient crop management techniques are necessary to increase crop yield. Precision agriculture techniques allow the stakeholders to make effective and customized crop management decisions based on data gathered from monitoring crop environments. Plant phenotyping techniques play a major role in accurate crop monitoring. Advancements in deep learning have made previously difficult phenotyping tasks possible. This survey aims to introduce the reader to the state of the art research in deep plant phenotyping.

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