MahaAGRITECH

        Synergistic use of technologies like, Remote Sensing, Drones, GIS, GPS, Mobiles, Simulation models and ICT tools, could lead to a robust system for building agricultural intelligence in order to address various issues linked to the performance of crops at circle, taluka and district level. The main objective of the current project is development and implementation of the state-of-the-art technologies for comprehensive assessment of the agricultural situation periodically throughout the cropping season and timely reporting of the information to the decision makers at various levels. This task calls for in-season real time monitoring of crops and infer the diagnostics to mitigate the stress due to adverse conditions or calamities, which affect the income from the farming.

     In this project, quantitative indicators pertaining to weather, soil and crops supported by intensive field information/observation collected through mobile app on real-time basis are used in the analysis to  generate a strong agricultural intelligence  information for specific crops throughout the cropping season.

       The project attempts innovative mapping and data analysis techniques to provide quantitative in-season measures/metrics/parameters related crop growth and productivity. Capabilities of all the tools and techniques, currently available for crop assessment and global experiences are fully exploited to generate objective information products. for example, satellite data of medium and fine resolutions will be used, respectively, for semi-detailed and detailed information on crop growth and prospects; GIS tools for generation of maps, GPS for geo-location and time-stamping, mobiles for in- situ collection and transmission of field data on crops, soils, pests and diseases, etc. are generated for assessment of the crop growth. A comprehensive geo-portal with user friendly dash boards is envisaged to develop with modern Geo-ICT tools for viewing, querying and display and dissemination.

    In this holistic process, the role of the line departments for field data collection as well as the feedback/validation of the information products, will be of immense value to strengthen the agricultural information system.