Intelligent Farming: IoT-Powered System for Efficient Soil Condition Analysis

Smart farming technology allows farmers to control and analyse variables in real-time, helping them optimize crop growth and manage their operations more efficiently. The use of specialized sensors, data collection tools, and advanced analytics in Internet of Things (IoT) systems is helping to bridge the gap between physical farm conditions and digital monitoring. In this study, we aim to develop a system that monitors soil conditions to support smart farming. The system provides farmers with live data on key environmental factors, such as temperature, humidity, soil moisture, and soil temperature, to improve crop yield and product quality. The IoT setup for this intelligent farming solution includes components like the DHT11 and humidity sensors, a DS18B20 temperature probe, LDR, water pump, and a 12V LED strip, all controlled by a NodeMCU. When the system is activated, it continuously monitors soil and environmental conditions and sends this information to the cloud for real-time access. If the soil moisture falls below a set threshold, the system automatically triggers irrigation. Our experimental results show that this model improves decision-making for managing farming conditions.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/smart63812.2024.10882563
Citations
2
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
1.20
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article

Intelligent Farming: IoT-Powered System for Efficient Soil Condition Analysis

Nandini Sharma, Swati Vishnoi, Medha Khenwar, Ankur Sisodia et al.
2 citations
Smart Agriculture and AI
1.20
article

Intelligent Farming: IoT-Powered System for Efficient Soil Condition Analysis

Nandini Sharma, Swati Vishnoi, Medha Khenwar, Ankur Sisodia, Priyanka Gupta, Sube Singh
article en
2 citations

Abstract

Smart farming technology allows farmers to control and analyse variables in real-time, helping them optimize crop growth and manage their operations more efficiently. The use of specialized sensors, data collection tools, and advanced analytics in Internet of Things (IoT) systems is helping to bridge the gap between physical farm conditions and digital monitoring. In this study, we aim to develop a system that monitors soil conditions to support smart farming. The system provides farmers with live data on key environmental factors, such as temperature, humidity, soil moisture, and soil temperature, to improve crop yield and product quality. The IoT setup for this intelligent farming solution includes components like the DHT11 and humidity sensors, a DS18B20 temperature probe, LDR, water pump, and a 12V LED strip, all controlled by a NodeMCU. When the system is activated, it continuously monitors soil and environmental conditions and sends this information to the cloud for real-time access. If the soil moisture falls below a set threshold, the system automatically triggers irrigation. Our experimental results show that this model improves decision-making for managing farming conditions.

Banasthali University (IN), The Sanskrit College and University (IN), CT Group Of Institutions (IN), GLA University (IN)
Zero hunger
Openalex Percentile: Top 15%
Smart Agriculture and AI
1.20
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