A Smart Irrigation System for A New Era using Satellite Weather Data and IOT (Internet of Things) Technology

The Smart Irrigation System aligns to optimize water use in agrarian fields, grounded on the use of IoT technology along with real-time data relating to the terrain and algorithmic machine literacy. Hence, it uses the data from soil, temperature, moisture, and rain detectors in real-time to stoutly decide the schedules of irrigation for crops, therefore reducing cases of water destruction and adding crop yield. This design uses the Support Vector Regression model to prognosticate the exact quantum of water shops will need with this operation into rainfall conditions and soil, and its armature contains major factors similar as a microcontroller, detectors, Wi-Fi module, pall garcon, and selectors controlling water inflow, allowing remote irrigation for the planter with an app while conserving coffers. The effectiveness of water use and crop product has shown enhancement in tests, therefore validating its scalability to different agrarian operations.

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Publication Details

Published
2025-04-16
DOI
https://doi.org/10.1109/iccct63501.2025.11019776
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
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article

A Smart Irrigation System for A New Era using Satellite Weather Data and IOT (Internet of Things) Technology

G Raghavendra, S. Rajarajan, Jithendar Singh S, R Divyaprasath
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Smart Agriculture and AI
article

A Smart Irrigation System for A New Era using Satellite Weather Data and IOT (Internet of Things) Technology

G Raghavendra, S. Rajarajan, Jithendar Singh S, R Divyaprasath
article en

Abstract

The Smart Irrigation System aligns to optimize water use in agrarian fields, grounded on the use of IoT technology along with real-time data relating to the terrain and algorithmic machine literacy. Hence, it uses the data from soil, temperature, moisture, and rain detectors in real-time to stoutly decide the schedules of irrigation for crops, therefore reducing cases of water destruction and adding crop yield. This design uses the Support Vector Regression model to prognosticate the exact quantum of water shops will need with this operation into rainfall conditions and soil, and its armature contains major factors similar as a microcontroller, detectors, Wi-Fi module, pall garcon, and selectors controlling water inflow, allowing remote irrigation for the planter with an app while conserving coffers. The effectiveness of water use and crop product has shown enhancement in tests, therefore validating its scalability to different agrarian operations.

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A Smart Irrigation System for A New Era using Satellite Weather Data and IOT (Internet of Things) Technology — G Raghavendra, S. Rajarajan, et al. · (2025) | TGRS Research Map | TGRS