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Keywords

Disease Attack
MATLAB
Thermal Camera
Drone vehicle
Image Processing
Smart Farming

Categories

How to Cite

P, R., Antony Premchand, & M, D. (2022). Real Time Detection of Plant Disease. Scientific Hub of Applied Research in Engineering & Information Technology, 2(2), 1–4. https://doi.org/10.53659/shareit.v2i2.28

Abstract

Technology is to build a prosperous nation. In this growing world, technology is also rapidly increasing. In addition to this, people ran towards agriculture too. So many technologies are developing in the field of agriculture. The farmers are facing problem in food production to equalize the need of world population. One of the major problems in the agriculture is productivity and yield. Productivity is decreasing rapidly due to disease attack in crops. It is very important to identify disease attack quickly or it will damage the whole field. So, our project is to identify the disease attack in crops and give the suitable pesticide to the target crop. We used image process technology to identify the disease attack by thermal camera captured images and feed the information in MATLAB software to get the disease attacked plant. After identifying the pest, suitable pesticide is sprayed through drone. Insecticides and pesticides are sprayed by drone in large scale farming by using remote control method from a particular distance. It helps the farmers to monitor environmental data which helps in smart farming and also to scout the field quickly. Thermal imaging detects infrared radiation, the thermal imaging camera does not emit radiation itself. In addition, it is a chemical-free method that is safe to use whether inside or outside a building.

https://doi.org/10.53659/shareit.v2i2.28
  
   pdf    25
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Copyright (c) 2022 Scientific Hub of Applied Research in Engineering & Information Technology

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