Context:
Recently, the union Agriculture Minister inaugurated a Krishi Integrated Command and Control Centre (ICCC) set up at Krishi Bhavan in New Delhi.
Relevance:
GS III: Agriculture
About Krishi Integrated Command and Control Centre
Overview:
- The Krishi Integrated Command and Control Centre is a technology-driven solution comprising multiple IT applications and platforms.
- It is established under the Ministry of Agriculture & Farmers’ Welfare.
Objectives:
- The centre aims to facilitate comprehensive monitoring of the agricultural sector.
- It consolidates geospatial information from diverse sources like remote sensing, soil surveys, and weather data from the India Meteorological Department (IMD) to aid in informed decision-making.
Technological Framework:
- The centre harnesses advanced technologies such as artificial intelligence (AI), remote sensing, and Geographic Information Systems (GIS).
- It collects and processes extensive granular data on factors like temperatures, rainfall, wind speed, crop yields, and production estimates, presenting them graphically for easy interpretation.
Features of the Krishi Integrated Command and Control Centre
Data Presentation:
- The centre offers insights on crop yields, production, drought situations, and cropping patterns through map, timeline, and drill-down views.
Analytical Tools:
- It showcases relevant trends, both periodic and non-periodic, identifies outliers, and presents Key Performance Indicators (KPIs).
- Users receive insights, alerts, and feedback on various agricultural schemes, programmes, projects, and initiatives.
Krishi Decision Support System (DSS):
- The centre employs platforms like Krishi DSS to gather micro-level data, process it, and provide a macro overview.
Personalized Farmer Advisories:
- It creates an ecosystem enabling the generation of individual farmer-level advisories.
- Tools like Kisan e-mitra, a chatbot developed for PM-Kisan beneficiaries, facilitate this process.
Identification and Customized Advisories:
- Using AI and machine learning, the system identifies farmers through their mobile numbers or Aadhaar.
- It matches this information with the farmer’s field data from land records, historical crop sowing details, and IMD weather data.
- Customized advisories are then generated in the local language of the farmer.
- The Bhashini platform aids in translating these advisories into multiple Indian languages for broader accessibility.
-Source: Indian Express
