CAMERA VISION BASED ANIMAL BEAT BACK SYSTEM FOR AGRICULTUE USING MACHINE LEARNING

CAMERA VISION BASED ANIMAL BEAT BACK SYSTEM FOR AGRICULTUE USING MACHINE LEARNING

DHARMADURAI N(1903010), Dr.Radhakrishnan,

Department Of Computer Science And Engineering

PSN College Of Engineering And Technology

TIrunelveli.

Abstract—Agriculture has seen many revolutions, whether the domestication of animals and plants a few thousand years ago, the systematic use of crop rotations and other improvements in farming practice a few hundred years ago, or the “green revolution” with systematic breeding and the widespread use of man-made fertilizers and pesticides a few decades ago.Agriculture is undergoing a fourth revolution triggered by the exponentially increasing use of information and communication technology (ICT) in agriculture.Autonomous, robotic vehicles have been developed for farming purposes, such as mechanical weeding, application of fertilizer, or harvesting of fruits. The development of unmanned aerial vehicles with autonomous flight control, together with the development of lightweight and powerful hyperspectral snapshot cameras that can be used to calculate biomass development and fertilization status of crops, opens the field for sophisticated farm management advice. Moreover, decision-tree models are available now that allow farmers to differentiate between plant diseases based on optical information. Virtual fence technologies allow cattle herd management based on remote-sensing signals and sensors or actuators attached to the livestock.