KRISHI ICCC (Syllabus: GS Paper 3 – Agriculture)

News-CRUX-10     27th March 2024        
output themes

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.