Systematic Mapping Study on the Use of Deep Learning, Image Processing, and IoT in Precision Agriculture

Author:

Alahiane Abdelaziz,Asnaoui Khalid El,Chadli Sara,Saber Mohammed

Publisher

Springer Nature Switzerland

Reference9 articles.

1. Vrchota, J., Pech, M., Svepesova, I.: Precision agriculture technologies for crop and livestock production in the Czech Republic. Agriculture 12(8), 1–18 (2022)

2. Benoit, A.A., Schroeder, A., Grimaudo, J.: Application of wireless sensor networks for greenhouse parameter control in precision agriculture. Int. J. Wirel. Mob. Netw. 3(1), 140–149 (2011)

3. Bhatnagar, V., Chandra, R., Sunda, S.: State of the art and gap analysis of precision agriculture: a case study of Indian Farmers. Int. J. Agric. Environ. Inf. Syst. 10(3), 72–92 (2019)

4. Patrel, V., Costa, L., Ampatzidis, Y.: Smart tree crop sprayer utilizing sensor fusion and artificial intelligence. Comput. Electron. Agric. 191(17), 1–13 (2021)

5. Rodney, T.C.S., Huang, Y.H., Chan, P.C., Showkat, A.B., Wu, C.W., Huang, N.F.: Rice growth stage classification via RF-based machine learning and image processing. Agriculture 12(22), 1–23 (2022)

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