Smart and Integrated Crop Disease Identification System

Authors

  • Harshala R. Yevlekar  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Pratik B. Deore  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Priyanka S. Patil  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Rutuja R. Khandebharad  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Prof. Vishal Kisan Borate  Assistant Professor, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India

Keywords:

Crop Disease, Identification System, , Camera Module, Soil Sensor, Humidity and Temperature Sensor

Abstract

Farming is the main occupation of large Indian people. To main objective of the farmer is to increase the productivity of the farm. The environmental factors or product resource, such as temperature, humidity, water supply, labor and electrical costs are important. However, above all, crop disease is the grave factor and causes some amount of reduction of the productivity in case of its exposure. Thus, the disease of the crop is much more important factor affecting the productivity of the crops. Therefore, the farmer focuses on the cause of the disease in the crops during its growth, but it is not easy to identify the disease on the spot. Until now, they just relied on the opinion of the experts or their own experiences when the disease is suspicious. However, it triggers a decrease in productivity as no taking correct action and time. In this paper, to find solution of this problem we provide the mechanism, which analyses the images of the crop and checking the condition of soil simultaneously checking the condition of humidity and temperature. Integrating the output of this three unit according to that predict the disease. Whenever disease is identified inform to farmer then farmer take the appropriate action against the disease and overcome the losses.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-10-30

Issue

Volume 4, Issue 8, September-October-2019

Section

Research Articles

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How to Cite

[1]
Harshala R. Yevlekar, Pratik B. Deore, Priyanka S. Patil, Rutuja R. Khandebharad, Prof. Vishal Kisan Borate, " Smart and Integrated Crop Disease Identification System, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 8, pp.114-118, September-October-2019.