Soil Characterization of Watermelon Field through Internet of Things: A New Approach to Soil Salinity Measurement

• URL: http://arxiv.org/abs/2411.17731v1
• Date: Fri, 22 Nov 2024 09:54:29 GMT
• Title: Soil Characterization of Watermelon Field through Internet of Things: A New Approach to Soil Salinity Measurement
• Authors: Md. Naimur Rahman, Shafak Shahriar Sozol, Md. Samsuzzaman, Md. Shahin Hossin, Mohammad Tariqul Islam, S. M. Taohidul Islam, Md. Maniruzzaman,
• Abstract summary: This research aims to design and implement an intelligent IoT-based soil characterization system for the watermelon field. IoT based developed system measures moisture, temperature, and pH of soil using different sensors. Excessive salinity in soil affects the watermelon yield.
• Score: 0.19474732718794505
• License:
• Abstract: In the modern agricultural industry, technology plays a crucial role in the advancement of cultivation. To increase crop productivity, soil require some specific characteristics. For watermelon cultivation, soil needs to be sandy and of high temperature with proper irrigation. This research aims to design and implement an intelligent IoT-based soil characterization system for the watermelon field to measure the soil characteristics. IoT based developed system measures moisture, temperature, and pH of soil using different sensors, and the sensor data is uploaded to the cloud via Arduino and Raspberry Pi, from where users can obtain the data using mobile application and webpage developed for this system. To ensure the precision of the framework, this study includes the comparison between the readings of the soil parameters by the existing field soil meters, the values obtained from the sensors integrated IoT system, and data obtained from soil science laboratory. Excessive salinity in soil affects the watermelon yield. This paper proposes a model for the measurement of soil salinity based on soil resistivity. It establishes a relationship between soil salinity and soil resistivity from the data obtained in the laboratory using artificial neural network (ANN).

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