Context: The Agriculture Minister of India recently inaugurated a Krishi Integrated Command and Control Centre (ICCC) established at Krishi Bhavan in New Delhi.
Applications of ICCC
- Visualize GIS-based soil carbon mapping with soil health card data for tailored farming advice.
- Correlate yield changes with weather data to proactively address drought impacts.
- Analyze crop diversification maps to suggest alternate crops for regions.
- K-DSS repository integrates spatial and AI data for informed decision-making.
- Compare Krishi MApper and GCES yield data for accuracy validation.
Krishi Integrated Command and Control Centre (ICCC)
- About: It is a tech-based solution housed within the Ministry of Agriculture & Farmers’ Welfare, aimed at aiding informed decision-making in the agricultural sector.
- Data Collection: The ICCC utilizes cutting-edge technologies like artificial intelligence, remote sensing, and Geographic Information Systems (GIS) to gather and analyze vast amounts of data on various agricultural parameters.
- Visual Output: 8 large LED screens at the ICCC present graphical representations of data on crop yields, production, drought situations, cropping patterns, and more, in map, timeline, and drill-down views.
- Decision Support: The Krishi Decision Support System (DSS) aggregates micro-level data to provide a macroscopic view, aiding in informed decision-making for agricultural planning and management.
- Objective of the ICCC
oMonitoring: The ICCC facilitates comprehensive monitoring of the farm sector by consolidating geospatial information from various sources.
oData Sources Integration: Geospatial data is collected from remote sensing, plot-level data from soil surveys, weather data from the IMD, sowing data from Digital Crop Survey, and farmer-related data from Krishi MApper.
oVisualisation for Decision-Making: Integrated visualization of this data allows for quick and efficient decision-making in agricultural management.
oICCC and PM-Kisan Chatbot Integration: The ICCC ecosystem has the potential to be linked with the PM-Kisan chatbot for enhanced functionality in the future.