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

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.

Code and data availability

This is a survey article with no paper-specific datasets, images, code, models, or supplements; all datasets mentioned (e.g., CropDeep, PlantVillage) are cited prior work, and no authors' public URLs or availability statements appear in the supplied blocks.

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