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.

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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
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article

Optimising Small-Scale Agricultural Land Using IoT and Machine Learning for Sustainable Resource Utilisation

Sandosh Padmanabhan, Phani Kumar Pullela, Nalina Suresh, B. Suresh
Smart Agriculture and AI
article

Optimising Small-Scale Agricultural Land Using IoT and Machine Learning for Sustainable Resource Utilisation

Sandosh Padmanabhan, Phani Kumar Pullela, Nalina Suresh, B. Suresh
article en

Abstract

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.

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