Akshay Kashyap K

Work place: Department of Information Science and Engineering, Siddaganga Institute of Technology, Tumakuru, Karnataka, India

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Research Interests: Computer systems and computational processes, Artificial Intelligence, Embedded System, Systems Architecture, Data Structures and Algorithms

Biography

Akshay Kashyap K received the bachelor’s degree from the Siddaganga Institute of Technology, Tumakuru. His bachelor's project was in the field of image processing and IoT, where he analyzed the problems faced by farmers in their day to day life to monitor their field. The subject of the research was the design and analysis of a robot which automatically analyzes the field and provide pest detection information to farmers. His research interests include artificial intelligence, data science, cloud computing, IoT, Embedded Systems and computer algorithms.

Author Articles
Automated Agricultural Field Analysis and Monitoring System Using IOT

By Kajol R Akshay Kashyap K Keerthan Kumar T G

DOI: https://doi.org/10.5815/ijieeb.2018.02.03, Pub. Date: 8 Mar. 2018

Smarter world is the resultant of the smarter technology. Agriculture was implemented in the nine of sedentary human civilization and it is the backbone of our Indian Economy. But the same traditional techniques like manual field monitoring, water feeding, pest detection, soil testing, etc., we are using for monitoring the field and frequently applying pesticides with or without having the knowledge of quantity to be used to control pests that affect the crops. So it is very important to enhance the agricultural production by making use of technology to overcome the damages being done. Our aim is to provide smart monitoring system using the current technologies like IoT, cloud computing and image processing. To address the above problems the authors of this paper are coming up with a model named “AAFAMS”( Automated Agricultural Field Analysis and Monitoring System Using IOT) which is used not only for monitoring the field but also to suggest the farmers about the moisture content in soil, detecting pest and the type of crop suited for the soil. In AAFAMS, a line follower robot is developed by using a hardware kit called Raspberry pi, which monitors the soil moisture level at every 100m distance using a soil moisture sensor and the information obtained from the sensor will be sent to cloud for storage. A camera will be connected to the AAFAMS which will detect the pests. After complete survey of field AAFAMS retrieves all stored data from cloud and SQLite database to provide a detailed report of Moisture content and Pests information and suggests farmer with the required pesticide. AAFAMS runs either on batteries or solar panel by utilizing the solar energy available and thereby helping farmers to monitor their fields effectively.

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