Optimising Small-Scale Agricultural Land Using IoT and Machine Learning for Sustainable Resource Utilisation
The investigation reviews how agricultural irrigation efficiency and crop production can be enhanced with the help of IoT and predictive analysis. It talks about things such as soil moisture sensors, automatic watering systems as well as drip irrigation and precision watering which are water conservation techniques. The research also points out indicators for soil quality, nutrient management, optimal soil sampling methods as well as climate-based crop selection in line with market demand.
Authors
- Sandosh Padmanabhan (ORCID: https://orcid.org/0000-0003-3869-5808)
- Phani Kumar Pullela (ORCID: https://orcid.org/0000-0002-4462-4814)
- Nalina Suresh (ORCID: https://orcid.org/0000-0002-9846-7199)
- B. Suresh
Publication Details
- Published
- 2024-11-07
- DOI
- https://doi.org/10.1109/csitss64042.2024.10816744
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00