National Jute Board’s Role in the Transformative Implementation of the Jute Crop Information System (JCIS)

Posted On: 11 MAY 2026 1:48PM by PIB Kolkata 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 Expansion of JCIS coverage to additional districts and high-potential jute-growing regions Strengthening of farmer advisory systems through mobile and SMS-based alerts on crop stress and weather conditions Deeper integration of JCIS outputs into scheme design, targeting, and resource allocation Use of advanced analytics for sustainability initiatives, including water resource mapping and carbon-related interventions Continued capacity building of field personnel and institutional stakeholders for standardized data collection and system adoption 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... (Release ID: 2259748) Visitor Counter : 816 Read this release in: Urdu , हिन्दी , Bengali , Tamil Ministry of Textiles National Jute Board’s Role in the Transformative Implementation of the Jute Crop Information System (JCIS) Posted On: 11 MAY 2026 1:48PM by PIB Kolkata 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 Expansion of JCIS coverage to additional districts and high-potential jute-growing regions Strengthening of farmer advisory systems through mobile and SMS-based alerts on crop stress and weather conditions Deeper integration of JCIS outputs into scheme design, targeting, and resource allocation Use of advanced analytics for sustainability initiatives, including water resource mapping and carbon-related interventions Continued capacity building of field personnel and institutional stakeholders for standardized data collection and system adoption 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... (Release ID: 2259748) <span style="font-family:Arial,Helvetica,sans-serif"><span style="font-size:18px">Kolkata, 11th&nbsp;May 2026</span></span></p> <p style="text-align:justify">&nbsp;</p> <p style="text-align:justify"><span style="font-family:Arial,Helvetica,sans-serif"><span style="font-size:18px">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.</span></span></p> <p style="text-align:justify"><span style="font-family:Arial,Helvetica,sans-serif"><span style="font-size:18px"><strong>Jute Crop Information System</strong></span></span></p> <p style="text-align:justify"><span style="font-family:Arial,Helvetica,sans-serif"><span style="font-size:18px">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: </span></span></p> <p style="margin-left:2cm; text-align:justify"><span style="font-family:Arial,Helvetica,sans-serif"><span style="font-size:18px">a) &nbsp;&nbsp;&nbsp;&nbsp; BHUVAN JUMP, a mobile app for on-field jute monitoring, and</span></span></p> <p style="margin-left:2cm; text-align:justify"><span style="font-family:Arial,Helvetica,sans-serif"><span style="font-size:18px">b) &nbsp;&nbsp;&nbsp;&nbsp; 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.</span></span></p> <p style="text-align:justify"><span style="font-family:Arial,Helvetica,sans-serif"><span style="font-size:18px">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.</span></span></p> <p style="text-align:justify"><span style="font-family:Arial,Helvetica,sans-serif"><span style="font-size:18px">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.</span></span></p> <p style="text-align:justify"><span style="font-family:Arial,Helvetica,sans-serif"><span style="font-size:18px">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.</span></span></p> <p style="text-align:justify"><span style="font-family:Arial,Helvetica,sans-serif"><span style="font-size:18px">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.</span></span></p> <p style="text-align:justify"><span style="font-family:Arial,Helvetica,sans-serif"><span style="font-size:18px">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.</span></span></p> <p style="text-align:justify"><span style="font-family:Arial,Helvetica,sans-serif"><span style="font-size:18px">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.</span></span></p> <p style="text-align:justify"><span style="font-family:Arial,Helvetica,sans-serif"><span style="font-size:18px"><strong>Way Forward for NJB</strong></span></span></p> <ul> <li style="text-align: justify;"><span style="font-family:Arial,Helvetica,sans-serif"><span style="font-size:18px">Expansion of JCIS coverage to additional districts and high-potential jute-growing regions</span></span></li> <li style="text-align: justify;"><span style="font-family:Arial,Helvetica,sans-serif"><span style="font-size:18px">Strengthening of farmer advisory systems through mobile and SMS-based alerts on crop stress and weather conditions</span></span></li> <li style="text-align: justify;"><span style="font-family:Arial,Helvetica,sans-serif"><span style="font-size:18px">Deeper integration of JCIS outputs into scheme design, targeting, and resource allocation</span></span></li> <li style="text-align: justify;"><span style="font-family:Arial,Helvetica,sans-serif"><span style="font-size:18px">Use of advanced analytics for sustainability initiatives, including water resource mapping and carbon-related interventions</span></span></li> <li style="text-align: justify;"><span style="font-family:Arial,Helvetica,sans-serif"><span style="font-size:18px">Continued capacity building of field personnel and institutional stakeholders for standardized data collection and system adoption</span></span></li> </ul> <p style="text-align:justify"><span style="font-family:Arial,Helvetica,sans-serif"><span style="font-size:18px">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.</span></span></p> <p style="text-align:justify"><span style="font-family:Arial,Helvetica,sans-serif"><span style="font-size:18px">This scientific approach is helping more accurate data estimation of jute crop area, crop output, yield &amp; raw jute production which is useful for policy decision making for the Jute Sector.</span></span></p> <p style="text-align:justify">&nbsp;</p> <p style="text-align:justify"><span style="font-family:Arial,Helvetica,sans-serif"><span style="font-size:18px">MSA...</span></span></p> " /> var mPlayer = document.getElementById("background_music"); var mPlayAction = document.getElementById("playbutton"); var isPlaying = false; function playAudio() { mPlayer.play(); isPlaying = true; document.getElementById('stopA').style.display = "block"; document.getElementById('playA').style.display = "none"; } function pauseAudio() { mPlayer.pause(); isPlaying = false; document.getElementById('playA').style.display = "block"; document.getElementById('stopA').style.display = "none"; } //function HandleAudio() { // if (isPlaying == true) { // //Playing already Pause it // pauseAudio(); // } else { // //Play the music // playAudio(); // } //} var synth = window.speechSynthesis; function CleanHtml(html) { html = html.replace(/ /gi, ''); 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