Challenge background
Agriculture is one of the main pillars of some economies, especially the developing ones. However, some farms are distant, and there are no botanists to take care of the plants in a proper way. Therefore, some crops are wasted because of the lack of care provided fr the plants. Also, some farmers do not have a solid background on how to detect and plan emergency plans to protect the crops
The problem
Due to the scarcity of financial resources available to some farmers in some developing countries like Egypt, they cannot afford to have botanists on their farms to take care of the crops; which leads to a situation in which the crops are wasted. Hence, this project aims at building AI-based models to detect potential plant diseases and provide some emergency plans to contain the damage.
Goal of the project
Economic Impact:
- Collecting a plant disease dataset.
- Data Pre-processing and Exploratory Analysis.
- Building AI-based classification models.
- Building emergency plans recommender system to contain the damage.
- Deployment of the models to be used by farmers in distant and unfortunate areas.
Project timeline
- 1
Week 1
– Data collection and annotation - Recommender system exploration - Image pre-processing - Exploratory Data Analysis (EDA)
- 2
Week 2
- Data collection and annotation - Modeling - Building an initial recommender system - Building deployment frontend and basic API functions
- 3
Week 3
- Modeling and voting on the best model - Recommender system delivery - Integrating the API functions with the models
- 4
Week 4
- Integrating the models to be used through APIs along with the recommender system
What you'll learn
1. Data Collection 2. Data preprocessing 3. Modeling 4. Recommender systems 5. Deployment