By using remote sensing technology, the user can access the non-access area and retrieve the agricultural data such health of vegetation, yield production , area coverage on a daily basis. this application would ensure the sustainability of supplying the food for the user and also will play a crucial rule as an early alarm system to report on any decrease in production.
The team was inspired due to the rapid demand for food during the lockdown which well stress the farms more in order to satisfy this demand. The general approach was to convert the satellite imagery ( raw data) into meaningful information that help the user to take immediate action as per the current situation. Due to the high spatial and temporal resolution of plant lab satellite imagery, the team decides to use it as the backbone of the input data . ArcGIS and ERDAS software were used as tools for image processing and retrieval and integrate information.
https://youtu.be/eXc-5qam-nY
Data
1. plant lab satellite imagery
2. Landsat satellite imagery
3. Sentential 2A satellite imagery