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A Neural Network-Based Automatic Crop Monitoring Robot for Agriculture
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Author(s): E. Udayakumar (Kalaignarkarunanidhi Institute of Technology, India), S. Balamurugan (QUANTS IS and Consultancy Services, India)and P. Vetrivelan (PSG Institute of Technology and Applied Research, India)
Copyright: 2019
Pages: 10
Source title:
The IoT and the Next Revolutions Automating the World
Source Author(s)/Editor(s): Dinesh Goyal (Poornima Institute of Engineering & Technology, India), S. Balamurugan (QUANTS Investment Strategy & Consultancy Services, India), Sheng-Lung Peng (National Dong Hwa University, Taiwan)and Dharm Singh Jat (Namibia University of Science and Technology, Namibia)
DOI: 10.4018/978-1-5225-9246-4.ch013
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Abstract
The economy, being highly based on agriculture, demands innovative and reliable methods of irrigation. In this paper, an idea of automatic irrigation method is proposed. Automatic irrigation is done using a soil moisture sensor. The manual method of irrigation is done by using automated process. In this proposed method, apart from a moisture sensor, other sensors like PIR sensor, ultrasonic sensor, humidity, temperature sensor, and water level sensors are used. This method has additional features like GSM. In wireless systems, electricity will be provided through solar panels. Whenever the moisture content of the soil reaches its maximum threshold value, the system sends a signal to the motor and it turns ON. The robot can do its work automatically through artificial neural network. Every time the motor starts or stops, the user will get the status of the motor's operation through SMS. The robot will continuously monitor the crop field using wireless camera. This provides security for the agriculture land. The main advantages of this system include minimization of water wastage, & error reduction
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