Machine learning in agriculture: a review of crop management applications
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-16105-2.pdf
Reference119 articles.
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3. Albuquerque CKG, Polimante S, Torre-Neto A, Prati RC (2020) Water spray detection for smart irrigation systems with Mask R-CNN and UAV footage. 2020 IEEE Int Work Metrol Agric For MetroAgriFor 2020 - Proc, 236–240. https://doi.org/10.1109/MetroAgriFor50201.2020.9277542
4. Alessandrini M, Calero Fuentes Rivera R, Falaschetti L, Pau D, Tomaselli V, Turchetti C (2021) A grapevine leaves dataset for early detection and classification of esca disease in vineyards through machine learning. Data Br. 35
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