Abstract: Agriculture is the origins of human sustenance in this world. The detection of leaf disease is of most economic importance in the agricultural industry. In past days leaf disease detection was done by employing some people. Later with the improvement in the technology, people started using herbicides to take out the disease in the leaf. But to identify the leaf disease still physical power was used in many parts of the world. Later there came few methods to discover the leaf disease without human intervention but due to lack of their accuracy, they were incapable to reach to the public. Then image processing was used for this purpose. It can also be implemented to reduce the usage of chemicals. It detects the leaf disease by using image processing techniquesby using an algorithm called SPEEDED-UP ROBUST FEATURES (SURF). In this system, we use ARDUINO UNO (ATmega328P) microcontroller which acts as brain of the system, because the entire system program instruction stored in it. Here we have image processing via PC unit to know the leaf disease status of plants. So that the detection of leaf disease is done from image processing which send information about the leaf disease is detected or not to the controller through ZIGBEE and it turn ON the pump motor using relay. The mechanism of robot is done by using robotic chase with two dc motor driven by motor driver and the ultrasonic sensor used to avoid hitting of obstacle. All the instruction to drive the robot is done by using Bluetooth..
Keywords: SPEEDED-UP ROBUST FEATURES (SURF), k-nearest neighbors(KNN).
Title: PESTICIDES PROVIDING ROBOT USING SPEEDED UP ROBUST FEATURES ALGORITHM
Author: V.KUMARAVEL, T.RAKESH, N.RAKESH, R.SURESH, N.SABARISH KUMAR
International Journal of Electrical and Electronics Research
ISSN 2348-6988 (online)
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