Authors :
Suvarna Nandyal, Priya S Khamitkar, Priyanka S Joshi.
Volume/Issue :
Volume 4 - 2019, Issue 6 - June
Google Scholar :
https://goo.gl/DF9R4u
Scribd :
https://bit.ly/2MTp51e
Abstract :
Agriculture is oldest profession of mankind. Very specifically, 80 percent of Indian population is engaged in agriculture related activities. No one can deny that farmers are losing their lives due to unmanageable debts increase due to failure of crops. Crop failures are due to various reasons. One of the main reason in crop failures is due to manual based, very traditional and un-scientific agriculture practices. In this work, an intelligent system is developed to watch the development of crops and various other very timely parameters of crops development. The new system proposed here consists of a flying drone fitted with a camera eye to record images of crops in a scheduled time. The work involves developing an intelligent system by building a knowledge-base to guide agriculturists. The knowledge-base includes various cases of various crops and decisions based on crop image analysis.
Keywords :
Agriculture, Drone, Unmanned Aerial Vehicle, Raspberry Pi, Internet of Things, Sensors.
Agriculture is oldest profession of mankind. Very specifically, 80 percent of Indian population is engaged in agriculture related activities. No one can deny that farmers are losing their lives due to unmanageable debts increase due to failure of crops. Crop failures are due to various reasons. One of the main reason in crop failures is due to manual based, very traditional and un-scientific agriculture practices. In this work, an intelligent system is developed to watch the development of crops and various other very timely parameters of crops development. The new system proposed here consists of a flying drone fitted with a camera eye to record images of crops in a scheduled time. The work involves developing an intelligent system by building a knowledge-base to guide agriculturists. The knowledge-base includes various cases of various crops and decisions based on crop image analysis.
Keywords :
Agriculture, Drone, Unmanned Aerial Vehicle, Raspberry Pi, Internet of Things, Sensors.
