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International Conference on Reimagining Rainfed Agro-ecosystems: Challenges & Opportunities during 22-24, December 2022 at ICAR-CRIDA, Hyderabad Conclusion This study provides some inputs for formulation of policy for bridging the yield gaps existing in several districts practicing rainfed agriculture which eventually helps in reducing the burden of importing oilseeds and pulses and addressing the threatening food and nutrition security in India. References Raju, B.M.K., Osman, M., Venkateswarlu, B., Rao, A.V.M.S., Rao, K.V., Mishra, P.K., Rama Rao, C.A., Kareemulla, K., Anil Rai, Bhatia, V.K., Prachi Misra Sahoo, Malhotra, P.K., Sikka, A.K., Swapna, N. and Latha, P., 2015. Prioritization of rainfed areas in India based on natural resource endowments. Journal of the Indian Society of Agricultural Statistics, 69(1), 83-93. Raju, B.M.K., Rama Rao, C.A., Rao, K.V., Srinivasa Rao, Ch., Josily Samuel, Subba Rao, A.V.M., Osman, M., Srinivasa Rao, M., Ravi Kumar, N., Nagarjuna Kumar, R., Sumanth Kumar, V.V., Gopinath, K.A. and Swapna, N., 2018. Assessing unrealized yield potential of maize producing districts in India. Current Science,114 (9), 1885-1893. Raju, B.M.K., Rao, K.V., Venkateswarlu, B., Rao, A.V.M.S., Rama Rao, C.A., Rao, V.U.M., Bapuji Rao, B., Ravi Kumar, N., Dhakar, R., Swapna, N. and Latha, P., 2013. Revisiting climatic classification in India: a district-level analysis. Current Science, 105 (4), 492-495. T5-04R-1019 A Mobile app for Unreaped Yield Potentials of Major Rainfed Crops and Scope for Bridging Yield Gaps - A Decision Support System R. Nagarjuna Kumar*, B. M. K. Raju, C. A. Rama Rao, Josily Samuel, A. V. M. Subbarao, M. Srinivas Rao, G. Nirmala, N. S. Raju and V. K. Singh ICAR-Central Research Institute for Dryland Agriculture, Hyderabad-500059, Telangana, India *nagarjunakumar191@gmail.com Bridging yield gaps is recognized as an important element of the strategy for raising productivity and farm incomes. Identifying and targeting districts, the administrative units at which most of the development planning and resource allocation is done in the country, where considerable yield gaps exist will be useful in planning interventions needed. With this, districts with considerable yield gaps were identified (Raju et al., 2013,2018) and was made available in the form of a Decision Support System (DSS)(http://www.icar-crida.res.in:8129/.). In this scenario, it is expected that integration of ICTs in agricultural extension will provide needed impetus to agricultural sector and ICTs can complement the traditional extension system for “Knowledge Resource” delivery to the millions of the farmers (Saravanan, 2010). To facilitate this mobile based technology dissemination in agriculture provides significant opportunity for farmers and extension workers to work together more effectively. Mobile Emerging approaches (RS, AI, ML, Drones etc) for crop management &assessment 706 | Page
International Conference on Reimagining Rainfed Agro-ecosystems: Challenges & Opportunities during 22-24, December 2022 at ICAR-CRIDA, Hyderabad phone‐enabled information delivery mechanism can help to meet the information needs of small farmers by reducing their knowledge gaps. Therefore, a mobile app for Unreaped Yield Potentials of Major Rainfed Crops and Scope for Bridging Yield Gaps ‘was developed based on developed DSS. It is very useful for the policy makers, researchers, extension workers. Methodology It is an android-based app. The database of the app has been designed using SQlite. User Interfaces were designed. Integrated all the menus and database. This App has been tested with different datasets and evaluated for its user-friendly environment. The App accommodated 17 rainfed crops viz., rice, sorghum, pearlmillet, maize, fingermillet, chickpea, pigeonpea, blackgram, greengram, lentil, groundnut, soybean, sunflower, sesame, rapeseed & mustard, castor and cotton. User has to select a crop and a district cultivating the crop. Results The App lists the model districts for a given crop and target District and indicates possible crop management for bridging yield gap. The App identifies 3 model districts having climate, soil, share of irrigated area under the crop and share of a particular season in area under the crop similar to the district (target) selected. The APP provides climate and available water holding capacity (AWHC) of soil of the district, area under the crop and share of irrigated area and share of a particular season (in case of rice, sorghum, maize, blackgram and greengram) in area under the crop and yield of the district in the crop. It further provides yield achieved by model districts. If the target district itself is the highest yielding district in the cluster, a remark to this effect is generated. If there are only 1 or 2 districts with yield more than that of target district in a cluster, only those districts will be listed as model districts. The highest yield among the model districts may be regarded potential yield. To explore other possible causes of yield gap, information on non-crop specific factors such as small and marginal farmers (% total farmers), annual rainfall (mm), degraded and waste lands (% geographical area), groundwater availability (ha m/ sq km), livestock population (ACU/sq km), rural literacy (%), villages having self-help groups (%), net irrigated area (% net sown area), villages with all-weather roads (%), households with electricity (%), regulated markets (No. / lakh holdings), drought proneness (% probability in terms of severe drought), flood proneness (% area) and cyclone proneness (score on 0-10 scale) were provided for target district and 3 model districts. The output can be downloaded as word file or in Excel sheet format for further use. The output of mobile app is shown below. 707 | Page Emerging approaches (RS, AI, ML, Drones etc) for crop management &assessment
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Extended Summaries 22-24 December,
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Resilience through land and water m
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International Conference on Reimagi
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Theme- 2 Ecosystem based approaches
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