Jute Crop Information System (JCIS) Project

About Jute Crop Information System (JCIS) Project

About

• Jute Crop Information System (JCIS) is a technology-led initiative that brings together satellite intelligence, weather analytics, and field-level inputs into a unified framework for crop monitoring.
• Implementation by: The system has been developed through collaboration between National Jute Board (NJB), Jute Corporation of India, and National Remote Sensing Centre under Indian Space Research Organisation (ISRO).
• Objective: It has been developed to monitor jute cultivation using remote sensing and field data. 
• This system represents a shift towards a more structured and evidence-based approach to crop monitoring. 

Features

• Tools developed: As part of this initiative, two key tools have been developed:
  • BHUVAN JUMP: It is a mobile app for on-field jute monitoring.
  • PATSAN (Prospective Assessment of Jute Using Mobile App-Based Field Observations): It is a web-based platform that provides near-real-time jute surveillance and analytics to support informed decision-making by officials and stakeholders.
• The tools have improved the reliability of estimates and the responsiveness of the overall monitoring framework.
• Multi-source information system: It integrates satellite-based mapping, weather analytics, vegetation indices, historical datasets, and mobile-based field inputs onto a single platform. 
• Real-time estimation: The system enables near real-time estimation of crop area and production, supports continuous monitoring of crop conditions, and facilitates automated reporting along with timely alerts. 

Working Mechanism

• NJB has facilitated a large-scale collection of geo-tagged field data through its I-CARE field network and using the BHUVAN JUMP mobile application. 
• NJB has also supported the conduct of Crop Cutting Experiments (CCEs) using a geospatial smart-sampling framework, combining satellite-derived crop maps with statistically robust sampling techniques.
  • This approach has improved the accuracy of yield estimation and strengthened production modelling.

Impacts

• JCIS outputs have been integrated into planning and monitoring processes within the sector. 
• The availability of consistent, geo-referenced data has improved alignment between state and national estimates and enabled more precise interventions. 
• The system has also strengthened risk assessment capabilities.
• The development of a quantitative flood impact model, supported by satellite observations and field validation, has enabled objective estimation of yield and quality losses in affected areas. 
• The incorporation of weather analytics has supported an early warning framework, with alerts on rainfall patterns, dry spells, and temperature variations aiding district-level planning and response.