Bibliografía

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[2] H. Bhardwaj et al., "Artificial intelligence and its applications in agriculture with the future of smart agriculture techniques," in Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture, IGI Global, 2021, pp. 25-39.

[3] S. T. Doddamani, S. Karadgi, and A. C. Giriyapur, "Multi-Label Classification of Cotton Plant with Agriculture Mobile Robot," in Data Intelligence and Cognitive Informatics: Proceedings of ICDICI 2021, Singapore, Springer Nature Singapore, 2022, pp. 759-772.

[4] A. Sharma et al., "Machine learning applications for precision agriculture: A comprehensive review," in IEEE Access, vol. 9, pp. 4843-4873, 2020.

[5] Z. Niu, G. Zhong, and H. Yu, "A review on the attention mechanism of deep learning," in Neurocomputing, vol. 452, pp. 48-62, 2021.

[6] G. Mejia, A. M. de Oca, and G. Flores, "Strawberry localization in a ridge planting with an autonomous rover," in Engineering Applications of Artificial Intelligence, vol. 119, pp. 105810, 2023.

[7] B. Hill, T. Roger, and F. W. Vorhagen, "Comparative analysis of the quantization of color spaces on the basis of the CIELAB color-difference formula," in ACM Transactions on Graphics (TOG), vol. 16, no. 2, pp. 109-154, 1997.

[8] E. Agudo, P. J. Pardo, H. Sánchez, Á. L. Pérez, and M. I. Suero, "A low-cost real color picker based on Arduino," in Sensors, vol. 14, no. 7, pp. 11943-11956, 2014.

[9] LeCun, Y. Bengio, and G. Hinton, "Deep learning," in Nature, vol. 521, no. 7553, pp. 436-444, 2015.

[10] Deng, W. Dong, R. Socher, L. J. Li, K. Li, and L. Fei-Fei, "ImageNet: A large-scale hierarchical image database," in 2009 IEEE Conference on Computer Vision and Pattern Recognition, June 2009, pp. 248-255.

[11] T. Shao, Y. Wang, G. Xuan, Z. Gao, Z. Hu, C. Gao, and K. Wang, "Assessment of strawberry ripeness using hyperspectral imaging," in Analytical Letters, vol. 54, no. 10, pp. 1547-1560, 2020.

[12] Liu and D. Xiao, "Recognition method of mature strawberry based on improved SSD deep convolutional neural network," in Bio-inspired Computing: Theories and Applications: 14th International Conference, BIC-TA 2019, Zhengzhou, China, November 22–25, 2019, Revised Selected Papers, Part II, vol. 14, pp. 271-281, Springer Singapore, 2020.