India, May 11 -- The Government of India has issued a release:

Kolkata, 11th May 2026

The evolution of India's jute sector has entered a decisive new phase with the implementation of the Jute Crop Information System (JCIS), a technology-led initiative that brings together satellite intelligence, weather analytics, and field-level inputs into a unified framework for crop monitoring. At the centre of this transition stands the National Jute Board (NJB), whose institutional leadership and field-level execution have been instrumental in translating the system from concept to practice.

Jute Crop Information System

NJB has been implementing the Jute Crop Information System project since 2023 in collaboration with the Indian Space Research Organization (ISRO) and the Jute Corporation of India to monitor jute cultivation using remote sensing and field data. As part of this initiative, two key tools have been developed:

a) BHUVAN JUMP, a mobile app for on-field jute monitoring, and

b) PATSAN (Prospective Assessment of Jute Using Mobile App-Based Field Observations), a web-based platform that provides near-real-time jute surveillance and analytics to support informed decision-making by officials and stakeholders.

Prior to the introduction of JCIS, the jute ecosystem was marked by structural limitations that constrained both planning and productivity. Crop area and yield estimates were largely based on fragmented inputs and expert assessments, often resulting in inconsistencies and delays. Field data collection remained manual, with limited standardization and absence of geo-referencing. Satellite, weather, and ground-level data operated in silos, with little scope for scientific validation. In addition, the lack of real-time mechanisms to detect crop stress arising from floods, droughts, pests, or temperature variations led to delayed responses and higher crop losses. At a broader level, limited granular visibility restricted identification of high-potential areas and constrained targeted interventions and policy formulation.

Within this context, JCIS represents a shift towards a more structured and evidence-based approach to crop monitoring. Conceived as a multi-source information system, it integrates satellite-based mapping, weather analytics, vegetation indices, historical datasets, and mobile-based field inputs onto a single platform. 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. This has improved both the reliability of estimates and the responsiveness of the overall monitoring framework.

The role of the National Jute Board has been central to the operationalization of JCIS. Through its I-CARE field network and coordination with implementing agencies, NJB has facilitated large-scale collection of geo-tagged field data using the BHUVAN JUMP mobile application. The scale and consistency of this effort have strengthened ground-level validation. 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.

At the institutional level, 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. Satellite-based assessments for recent years have provided a coherent picture of jute cultivation across major producing states, indicating improved methodological consistency.

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. In parallel, 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.

Overall, JCIS has enabled a more integrated approach to crop monitoring by bringing together multiple data streams within a single analytical framework. The system's ability to generate actionable insights has improved the quality of decision-making across different levels, while also creating a basis for continuous refinement through feedback and capacity building.

Way Forward for NJB

The implementation of JCIS reflects a gradual but important transition towards a more data-driven and integrated approach in the jute sector, with the National Jute Board playing a key role in anchoring this shift within existing institutional and field-level structures.

This scientific approach is helping more accurate data estimation of jute crop area, crop output, yield & raw jute production which is useful for policy decision making for the Jute Sector.

MSA...

Disclaimer: Curated by HT Syndication.