References

Altaheri, H., M. Alsulaiman and G. Muhammad, 2019. Date fruit classification for robotic harvesting in a natural environment using deep learning. IEEE Access, 7: 117115-117133.
CrossRef  |  Direct Link  |  

Behera, S.K., A.K. Rath and P.K. Sethy, 2020. Maturity status classification of papaya fruits based on machine learning and transfer learning approach. Inf. Process. Agric., Vol. 10.1016/j.inpa.2020.05.003

Behera, S.K., A.K. Rath, A. Mahapatra and P.K. Sethy 2020. Identification, classification & grading of fruits using machine learning & computer intelligence: A review. J. Ambient Intell. Hum. Comput., Vol. 1, 10.1007/s12652-020-01865-8

Kiran, M.S. and G. Niranjana, 2019. A review on fruit maturity detection techniques. IJITEE-Int. J. Innovative Technol. Exploring Eng., 8: 444-447.
Direct Link  |  

Rojas-Aranda, J.L., J.I. Nunez-Varela, J.C. Cuevas-Tello and G. Rangel-Ramirez, 2020. Fruit classification for retail stores using deep learning. Proceedings of the Mexican Conference on Pattern Recognition, June 24-27, 2020, Springer, Morelia, Mexico, pp: 3-13.

Shamshiri, R.R., J.W. Jones, K.R. Thorp, D. Ahmad, H. Che Man and S. Taheri, 2018. Review of optimum temperature, humidity and vapour pressure deficit for microclimate evaluation and control in greenhouse cultivation of tomato: A review. Int. Agrophys., 32: 287-302.
CrossRef  |  Direct Link  |  

Srinivas, D. and M. Yousef, 2020. Apple fruit detection and maturity status classification. Int. J. Innovative Technol. Exploring Eng., 9: 1055-1059.
CrossRef  |  Direct Link  |  

Thengane, V.G. and M.B. Gawande, 2018. Arduino based tomato ripening stages monitoring system. Int. J. Innovative Res. Sci. Eng. Technol., 7: 530-536.
CrossRef  |  Direct Link  |  

Zawbaa, H.M., M. Hazman, M. Abbass and A.E. Hassanien, 2014. Automatic fruit classification using random forest algorithm. Proceedings of the 2014 14th International Conference on Hybrid Intelligent Systems, December 14-16, 2014, IEEE, Kuwait, Kuwait, pp: 164-168.