Maturity Level Detection of Strawberries: A Deep Color Learning-Based Futuristic Approach

Author:

Ameetha Junaina T. K.ORCID,Kumudham R.ORCID,Ebenezer Abishek B.ORCID,Mohammed ShakirORCID

Publisher

Springer Nature Singapore

Reference17 articles.

1. Arjun, K.M.: Int. J. Agric. Food Sci. Technol. 4(4), 343–346 (2013). http://www.ripublication.com/ijafst.htm ISSN 2249-3050, Research India Publications

2. Agriculture 4.0–The Future of Farming Technology. https://www.oliverwyman.com/our-expertise/insights/2018/feb/agriculture-4-0--the-future-of-farming-technology.html

3. Mohamed, I., Williams, D., Stevens, R., Dudley, R.: Strawberry ripeness calibrated 2D colour lookup table for field-deployable computer vision. IOP Conf. Ser.: Earth Environ. Sci. 275, 012003 (2019). https://doi.org/10.1088/1755-1315/275/1/012003

4. Itsupplychain homepage. https://itsupplychain.com/smart-farming-how-automation-is-shaping-the-future-of-agriculture/

5. Naranjo-Torres J, Mora M, Hernández-García R, Barrientos RJ, Fredes C, Valenzuela A (2020) A review of convolutional neural network applied to fruit image processing. Appl Sci 10(10):3443. https://doi.org/10.3390/app10103443

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