Video Analysis for Logo Analysis using Deep Learning based Vision Models
The Challenge
Develop an app for farmers using AI and IoT to modernize agricultural activities and increase income and improve supply chain efficiencies. Improve crop productivity, soil health monitoring, optimization of weed management, detect crop diseases, monitor crop health, water management and price realization for farmers, organize data for farmers by IoT and insect classification. The method of automatic recognition of crop diseases is divided into two groups, direct and indirect methods Direct methods comprise molecular and serological techniques. It can be cured by AI and IoT
Hypothesis
- Image preprocessing, analyzing various plant based diseases based on their images, Detecting interesting parts of an image based on complex changes in gradients
Execution
- Image preprocessing, analyzing various plant based diseases based on their images, Detecting interesting parts of an image based on complex changes in gradients
- Incorporating AI and IoT to drive solutions in the rural area. Claims prediction & crop health detection
- Built-in checks and balances to meet rigorous data quality and yield outcomes
Outcomes
- Enhancement of sustainable farming
- Solution that generate, guide & maintain the sustainable solutions for farmers in India
- Disease, pest, weed, stress region detection in crops
- IoT devices deployed in fields
HIGHLIGHTS
- Real-Time collaboration with leading industry experts for social cause
- Encourage farmers to reduce use of pesticides and yet increase their yield
- To make automated content suggestions