1. Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., Corrado, G.S., Davis, A., Dean, J., Devin, M., Ghemawat, S., Goodfellow, I., Harp, A., Irving, G., Isard, M., Jia, Y., Jozefowicz, R., Kaiser, L., Kudlur, M., Levenberg, J., Mané, D., Monga, R., Moore, S., Murray, D., Olah, C., Schuster, M., Shlens, J., Steiner, B., Sutskever, I., Talwar, K., Tucker, P., Vanhoucke, V., Vasudevan, V., Viégas, F., Vinyals, O., Warden, P., Wattenberg, M., Wicke, M., Yu, Y., Zheng, X., 2015. TensorFlow: Large-scale machine learning on heterogeneous distributed systems. Preliminary White Paper. https://arxiv.org/abs/1603.04467v2.
2. Technologies for forecasting tree fruit load and harvest timing — from ground, sky and time;Anderson;Agron.,2021
3. 'Hass' avocado quality as influenced by temperature and ethylene prior to and during final ripening;Arpaia;Postharvest Biol. Technol.,2018
4. Avocado fruit quality management during the postharvest supply chain;Bill;Food Rev. Int.,2014
5. Pre- and postharvest measures for long-term storage of avocados;Bower;South African Avocado Growers’ Assoc. Yearbook,1988