A fast high throughput plant phenotyping system using YOLO and Chan-Vese segmentation
Author:
Funder
Department of Science and Technology, India
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00500-024-09946-y.pdf
Reference68 articles.
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3. An N, Palmer CM, Baker RL, Markelz RC, Ta J, Covington MF, Maloof JN, Welch SM, Weinig C (2016) Plant high-throughput phenotyping using photogrammetry and imaging techniques to measure leaf length and rosette area. Comput Electron Agric 1(127):376–394. https://doi.org/10.1016/j.compag.2016.04.002
4. Araus JL, Cairns JE (2014) Field high-throughput phenotyping: the new crop breeding frontier. Trends Plant Sci 19(1):52–61. https://doi.org/10.1016/j.tplants.2013.09.008
5. Badiger M, Mathew JA (2023) Tomato plant leaf disease segmentation and multiclass disease detection using hybrid optimization enabled deep learning. J Biotechnol 10(374):101–113
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