- front-end
- 80 % of the front end has been done .
- back-end
- 20% of the back-end has been done.
- ML model
- 10% of progress has been reached.
- further data acquisition has to be done for better classification of crops , by using different sensor data from different satellites.
- data acquisition has to be automated.
- data pre-processing has to be improved .
- data processing , data aggregation, and labeling of data has to be done .
- integration of Twilio , rasa chat-bot, grafana has to be done .
- database has to be added.
- database for large dataset has to be added.
- postgres database integration in spring boot has to be done.
- spring boot Rest api and other services has to be exposed to the front-end.
- front-end has to be optimized for better performance on smaller devices.
- as smaller less powerful mobiles will be used to access the site the performance of the front-end requires optimization
- Various languages have to be added to the website
- Accessibility of the website has to be improved.