Paper Title
AI: Revolutionizing Crop Health through Integrated Soil Monitoring Tech
Article Identifiers
Authors
Shravan P. Wargantiwar , Aryan K. Gaddewar , Shifa Z. Hakim , Roshan D. Kawadkar , Milind V. Lande
Keywords
Sensors in precision agriculture; NPK sensors; Moisture and Temperature Sensing; Need for precision farming
Abstract
The demand for food is increasing every day because of the growing population. However, the proportional growth in the production of crops is not happening. This problem can be addressed using information technology in the agricultural process. In this paper, an Internet of Things-based (IOT) system has been designed and developed to monitor soil health. The chemical and physical properties of the soil can be evaluated by measuring different parameters contained in the soil such as nitrogen (N), phosphorus (P), potassium (K), temperature as well as moisture. Model has been created by using four sensor are developed using ESP32P, NPK sensor, soil moisture, and temperature sensor. First, the location capture from the farmer then drone was sent at the location and it can collect various data by landing various places in a whole farm. Data capture by using NRF24L01PA+LNA module. These sensor nodes, which are powered by battery, are placed on drone in the agricultural fields to collect the soil data from various locations in same farm. All the sensor data are then sent to the cloud over a Wi-Fi network. The data of the soil parameters is given in real time which will allow monitoring of the data in graphical and numerical formats. An android application is developed for real-time monitoring of the data.
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How To Cite (APA)
Shravan P. Wargantiwar, Aryan K. Gaddewar, Shifa Z. Hakim, Roshan D. Kawadkar, & Milind V. Lande (March-2024). AI: Revolutionizing Crop Health through Integrated Soil Monitoring Tech. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(3), a489-a497. https://ijnrd.org/papers/IJNRD2403053.pdf
Issue
Volume 9 Issue 3, March-2024
Pages : a489-a497
Other Publication Details
Paper Reg. ID: IJNRD_214628
Published Paper Id: IJNRD2403053
Downloads: 000121997
Research Area: Computer EngineeringÂ
Country: Gadchiroli, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2403053.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403053
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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