Digital Transformation of Horticultural Crop Production Systems Toward Sustainable Agricultural Productivity
Author:
Funder
Agricultural Research Organization
Japanese Society of Promotion Science
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1263-2_13
Reference79 articles.
1. Abdulridha, J., Batuman, O., & Ampatzidis, Y. (2019). UAV-based remote sensing technique to detect citrus canker disease utilizing hyperspectral imaging and machine learning. Remote Sensing, 11(11), 1373. https://doi.org/10.3390/rs11111373
2. Ahmad, L., & Nabi, F. (2021). Agriculture 5.0: Artificial Intelligence. In IoT and machine learning (1st ed.). CRC Press. https://doi.org/10.1201/9781003125433
3. Ahmad, U., Alvino, A., & Marino, S. (2022). Solar fertigation: A sustainable and smart IoT-based irrigation and fertilization system for efficient water and nutrient management. Agronomy, 12, 1012. https://doi.org/10.3390/agronomy12051012
4. Alves, R. G., Maia, R. F., & Lima, F. (2023). Development of a digital twin for smart farming: Irrigation management system for water saving. Journal of Cleaner Production, 388, 135920. https://doi.org/10.1016/j.jclepro.2023.135920
5. Apacionado, B. V., & Ahamed, T. (2023). Sooty Mold detection on citrus tree canopy using deep learning algorithms. Sensors, 23(20), 8519. https://doi.org/10.3390/s23208519
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