SIH26010Hardware
Survey/Resurvey of Rural Agricultural Land in lndia
Ministry of Rural Development
Official Description
Background: Historically, land surveys in rural lndia were conducted using conventional chain and tape methods, many of which date back several decades or even the colonial period. Over time, multiple issues emerged such as Boundary changes due to inheritance and informal partition, Unrecorded land transactions, Encroachments and overlapping claims, Errors in cadastral maps, Mismatch between textual records and spatial maps, Absence of updated mutation records and inconsistent land classifications. These deficiencies have resulted in prolonged legal disputes, reduced agricultural productivity, and administrative inefficiencies. Land-related disputes reportedly account for a major share of civil litigation in lndia. Detailed Description: A comprehensive survey/resurvey program is necessary to establish accurate land ownership, Update cadastral maps, Reduce land disputes,Enable transparent land governance, Support precision agriculture, lmprove rural planning, Facilitate digital land administration and Ensure effective implementation of government schemes.Modern technologies such as Drone mapping, Differential GPS (DGPS), GIS platforms, Satellite imagery, CORS, Mobile-based field verification can significanfly improve accuracy, speed, and transparency in rural land management.
Expected Solution: Technology-Driven Land Survey and Resurvey be implemented using modern survey technologies for accurate mapping of agricultural land parcels such as Drone-based aerial surveys, Real-Time Kinematic (RTK) GPS and DGPS systems, GIS-enabled cadastral mapping and Geo-referenced parcel identification. Developing a unified digital land information system integrating Record of Rights(RoR), Mutation records, Registration databases, Survey maps, Ownership history,precise Geo-coordinates of land parcels. This integration should enable real-time updating and verification of land ownership.
Official Hackathon Facts
Theme / DomainSmart Automation
Track TrackHardware
Submission Deadline20 September 2026
Ideas Registered0/500
✨ SIH Fit Analysis
Estimated DifficultyAdvanced
Social Impact Score (5/5)
🔥 High Impact🛰️ Space / Strategic🚀 Advanced Technology
Primary Tech AreaOther Hardware Technologies
Technology Stack Tags
Computer VisionNLPDroneAerial MappingGISRemote SensingDatabase SystemsGIS / Remote Sensing
Suggested Skills
OpenCVNLP libraries (spaCy/HuggingFace)Flight controllers (PX4/ArduPilot)QGIS/ArcGISSatellite data processingSQL / Database design
Notable Technology Combo
Computer Vision + Drone / UAVGIS + Remote Sensing
✦ Why This Problem is Interesting
Combines Computer Vision, Drone, GIS, Remote Sensing with the problem domain, creating a technically focused solution opportunity.
* Note: SIH Fit Analysis contains derived ratings and classification schemas generated to aid team selection; these are not official ratings from the Smart India Hackathon organizers.
