Deep learning algorithm development for early detection of Botrytis cinerea infected strawberry fruit using hyperspectral fluorescence imaging

Author:

Chun Seung-Woo,Song Doo-Jin,Lee Kwang-Ho,Kim Min-Jee,Kim Moon S.,Kim Kyoung-Su,Mo Changyeun

Publisher

Elsevier BV

Reference54 articles.

1. Post-harvest enhancing and Botrytis cinerea control of strawberry fruits using low cost and eco-friendly natural oils;Abd-Elkader;Agronomy,2021

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3. Characteristics and trends of strawberry cultivars throughout the cultivation season in a greenhouse;Ahn;Horticulturae,2021

4. Plant disease classification using deep learning. In 2021;Akshai,2021

5. Ratio analysis of reflectance spectra (RARS): an algorithm for the remote estimation of the concentrations of chlorophyll a, chlorophyll b, and carotenoids in soybean leaves;Chappelle;Remote Sens. Environ.,1992

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