EasyRFP: An Easy to Use Edge Computing Toolkit for Real-Time Field Phenotyping

ECCV 2020

EasyRFP: An Easy to Use Edge Computing Toolkit for Real-Time Field Phenotyping

Aug 18, 2020
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Authors: Sai Vikas Desai*, Akshay L Chandra*, Masayuki Hirafuji, Seishi Ninomiya, Vineeth N Balasubramanian, Wei Guo Comments: Accepted at CVPPP 2020 Workshop and ECCV 2020 Demos. This is a joint project by Dr. Vineeth's group at IIT Hyderabad and Dr. Guo's group at The University of Tokyo. Abstract: Recent advances in deep learning have catalyzed rapid progress in high throughput field phenotyping. Much research has been dedicated towards developing accurate and cost effective deep learning models to capture phenotyping traits such as plant stress, yield and plant growth stages. However, there is a shortage of software tools to promote the usage of such intelligent methods among plant phenotyping practitioners and researchers. To bridge this gap, we developed EasyRFP, a Flask back-end, Angular front-end software toolkit which can be interfaced with any commercial GPU enabled micro computer (such as NVIDIA Jetson) and a digital camera. GitHub Repo: https://github.com/lab1055/easy-rfp * Equal Contribution

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