To develop an automated system using computer vision technology for detecting plant diseases and monitoring crop health in real-time.
To integrate insurance data with the automated system to provide farmers with alerts and recommendations for preventing and managing plant diseases.
To analyze the impact of the automated system on crop yield, quality, and overall profitability for farmers who have insurance coverage.
To evaluate the effectiveness of the system in reducing crop losses and improving crop health outcomes for insured farmers.
Research existing technologies and algorithms for plant disease detection and crop health monitoring using computer vision.
Develop a prototype system that can automatically detect plant diseases and monitor crop health using images captured from drones or cameras.
Integrate insurance data with the system to provide personalized recommendations and alerts for farmers.
Conduct field tests and data analysis to assess the performance and impact of the system on crop yield and profitability.
Write a detailed research report documenting the development process, results, and recommendations for future improvements.
