Evaluation of Machine Learning Approaches for Precision Farming in Smart Agriculture System: A Comprehensive Review
Ghazi University · HITEC University · +3 more institutions
Abstract
In the era of digital data proliferation, agriculture stands on the cusp of a transformative revolution driven by Machine Learning (ML). This study delves into the intricate interplay between Information and Communications Technology (ICT) and conventional agriculture, emphasizing the role of ML in reshaping farming practices. With the ongoing data tsunami impacting data-driven businesses, the fusion of smart farming and precision agriculture emerges as a beacon of innovation. ML algorithms, analyzing historical and real-time environmental data, soil conditioning, predicts suitable crop for maximum yields, detect diseases, and optimize irrigation in smart farming, facilitating informed decision-making.…
Citation impact
- FWCI
- 91.63
- Percentile
- 100%
- References
- 232
Authors
6Topics & keywords
- Agriculture
- Computer science
- Precision agriculture
- Machine learning
- Artificial intelligence
- Zero hunger