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Precision Grape Plantation Management: Harnessing CS-ML Approaches
Authors
12 Department of Computer Science Engineering, Doon College of Engineering Technology, UP, India. 3Assistant Professor, Department of Computer Science Engineering, Doon College of Engineering Technology, UP, India.
Article Information
- DOI
- No DOI
- Published In
- Volume 4, Issue 5 (2024)
- Published Online
- September-October 2024
- Pages
- 28-31
- Article Type
- Original Article
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- No DOI available for cross-reference
References
1. Arturo Aquino, Maria P. Diago, Borja Millan, Javier Tard Aguila, “A new methodology for estimating the grapevine berry number per
cluster using image analysis”, Biosystems Engineering, Vol. 156, pp. 80-95, 2017.
2. Tardaguila, J., Diago, M.P., Millán, B., Blasco, J., Cubero, S. García-Navarrete, O.L., and Aleixos, N., “Automatic estimation of the size
and weight of grapevine berries by image analysis”, CIGR- AgEng., 2012.
3. G. M. Dunn, S. R. Martin, "Yield prediction from digitial image analysis: a technique with potential for vineyard assessments prior to
harvest.", Australian Journal of Grape and Wine Research, 10, pp.196-198, 2004.
4. Chamelat, R., Rosso, E., Choksuriwong, A., Rosenberger, C., Laurent, H., and Bro, P., “Grape Detection by Image Processing”,
Proceedings of IEEE 32nd Annual Conference on Industrial Electronics (IECON 2006), Paris, France. pp. 3697–3702, 2006.
5. Rabatel, G., &Guizard, C., “Grape berry calibration by computer vision using elliptical model fitting”, 6th European Conference on
Precision Agriculture (ECPA 2007), Skiathos, Greece. pp. 581-587, 2007
cluster using image analysis”, Biosystems Engineering, Vol. 156, pp. 80-95, 2017.
2. Tardaguila, J., Diago, M.P., Millán, B., Blasco, J., Cubero, S. García-Navarrete, O.L., and Aleixos, N., “Automatic estimation of the size
and weight of grapevine berries by image analysis”, CIGR- AgEng., 2012.
3. G. M. Dunn, S. R. Martin, "Yield prediction from digitial image analysis: a technique with potential for vineyard assessments prior to
harvest.", Australian Journal of Grape and Wine Research, 10, pp.196-198, 2004.
4. Chamelat, R., Rosso, E., Choksuriwong, A., Rosenberger, C., Laurent, H., and Bro, P., “Grape Detection by Image Processing”,
Proceedings of IEEE 32nd Annual Conference on Industrial Electronics (IECON 2006), Paris, France. pp. 3697–3702, 2006.
5. Rabatel, G., &Guizard, C., “Grape berry calibration by computer vision using elliptical model fitting”, 6th European Conference on
Precision Agriculture (ECPA 2007), Skiathos, Greece. pp. 581-587, 2007
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