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A smartphone application for irrigation scheduling of crops in northwestern India


Affiliations
1 Department of Management and Geospatial Analysis Center, American University of Sharjah, PO Box 26666, Sharjah, United Arab Emirates
2 ICAR-Central Institute of Agricultural Engineering, Bhopal 462 038, India, India
 

Irrigation management helps determine when and how much water must be applied to irrigate crops. A mobile application (app) has been developed for irrigation sche­duling selected crops for the semi-arid and arid regions of Rajasthan, India. These regions experience extreme temperatures in both the summer and winter months, and erratic rainfall conditions. The app uses the water balance approach to compute the most favourable irrigation cycle for a range of crops for selected locations in the state. It also utilizes meteorological, crop and soil data to derive a daily irrigation schedule for the selected month and location
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  • Kulshrestha, S. K. and Rathore, J. S., Agriculture trends and development in Rajasthan. Rajasthan Econ. J., 2014, 39(1 and 2), 76–82.

  • RAJRAS (n.d.). Rainfall in Rajasthan; https://www.rajras.in/rajasthan/geography/rainfall/ (accessed on 8 August 2021).

  • Rathore, M. S., State level analysis of drought policies and impacts in Rajasthan, India. IWMI, Colombo, Sri Lanka, Working Paper 93: Drought Series Paper No. 6, 2005, p. 40.

  • NABARD, Doubling farmers’ income: issues and strategies for Rajasthan – Final Report. National Bank for Agriculture and Rural Development, New Delhi, 2018.

  • Swain, M., Kalamkar, S. S. and Ojha, M., State of Rajasthan Agriculture 2011–12, AERC Report No. 145, Agro Economic Research Centre, S.P. University, V.V. Nagar, 2012.

  • GoI, Agriculture Census 2015, Agriculture Census Division, Department of Agriculture, Cooperation and Farmers Welfare, Ministry of Agriculture and Farmers Welfare, Government of India, 2015.

  • Economic Review 2020–21, Directorate of Economics and Statistics Rajasthan, Government of Rajasthan, Jaipur, p. 297.

  • Gupta, A., Singh, R. K., Kumar, M., Sawant, C. P. and Gaikwad, B. B., On-farm irrigation water management in India: challenges and research gaps. Irrig. Drain., 2021, 71(1), 3–22; https://doi.org/10.1002/ird.2637.

  • Rajput, T. B. S. and Patel, N., Enhancement of field water use efficiency in the Indo-Gangetic Plain of India. Irrig. Drain., 2005, 54(2), 189–203; https://doi.org/10.1002/ird.167.

  • Jain, R., Kishore, P. and Singh, D. K., Irrigation in India: status, challenges and options. J. Soil Water Conserv., 2019, 18(4), 1–10; https://doi.org/10.5958/2455-7145 2019.00050.x.

  • Mittal, S. and Tripathi, G., Role of mobile phone technology in improving small farm productivity. Agric. Econ. Res. Rev., 2009, 22(2), 451–459.

  • George, T., Ballantyne, H., Belden, P., Birner, C., Castello, R., del Castren, R. and Treinen, V., ICT in Agriculture, Connecting Small-holders to Knowledge, Networks and Institutions, 2011.

  • Van der Gulik, T., Trickle irrigation scheduling using evapotranspiration data. Ministry of Agriculture, Food and Fisheries of British Columbia, Canada. Agdex 561, 2004.

  • Dukes, M. D., Shedd, M. L. and Davis, S. L., Smart irrigation controllers: operation of evapotranspiration-based controllers, EDIS, 2009; journals.flvc.org

  • Kisekka, I., Migliaccio, K. W., Dukes, M. D., Schaffer, B., Crane, J. H., Bayabil, H. K. and Guzman, S. M., Evapotranspiration-based irrigation scheduling for agriculture. AE457, Department of Agricultural and Biological Engineering, UF/IFAS Extension, USA, Original publication date January 2010. Revised March 2016, April 2019 and May 2019.

  • Irrigation Association, Landscape irrigation scheduling and water management, Irrigation Association Water Management Committee, Falls Church, VA, 2005; http://www.irrigation.org/gov/pdf/IA_LISWM_MARCH_2005.pdf

  • Brouwer, C., Goffeau, A. and Heibloem, M., Irrigation Water Management. Training Manual No. 1 – Introduction to Irrigation, Food and Agriculture Organization of the United Nations, FAO, Rome, Italy, 1986, pp. 102–103.

  • Rhoads, F. M. and Yonts, C., Irrigation scheduling for corn – why and how. National Corn Handbook, Water Management (Irrigation), US Department of Agriculture (USDA), 580, USA, 1991.

  • Allen, R. G., Pereira, L. S., Raes, D. and Smith, M., Crop evapo-transpiration. Irrigation and Drainage Paper 56, FAO, Rome, Italy, 1998, p. 300.

  • Saxena, R., Tiwari, A., Mathur, P. and Chakravarty, N. V. K., An investigation of reference evapotranspiration trends for crop water requirement estimation in Rajasthan. J. Agrometeorol., 2020, 22(4), 449–456.

  • Wani, S. P., Rockstorm, J. and Oweis, T., Rainfed Agriculture: Unlocking the Potential, CAB International, Wallingford, United Kingdom, 2009; 10.1079/9781845933890.0000.

  • Rao, B., Sandeep, V. M., Rao, V. U. M. and Venkateswarlu, B., Potential evapotranspiration estimation for Indian conditions: improving accuracy through calibration coefficients. Tech. Bull. No 1/2012, AICRP on Agrometeorology, Central Research Institute for Dryland Agriculture, Hyderabad, 2012, p. 60.

  • Goparaju, L. and Ahmad, F., Analysis of seasonal precipitation, potential evapotranspiration, aridity, future precipitation anomaly and major crops at district level of India. KN – J. Cartogr. Geogr. Inf., 2019, 69, 143–154; https://doi.org/10.1007/s42489-019-00020-4.

  • Rao, A. S., Poonia, S. and Choudhary, S., Climate change projections and impacts on Thar Desert ecosystem. Ann. Plant Soil Res., 2012, 14(2), 87–94.

  • Rao, A. S. and Poonia, S., Sensitivity of crop water requirements to elevated temperatures in arid Rajasthan. Ann. Arid Zone, 2012, 50(2), 131–138.

  • Goyal, R. K., Sensitivity of evapotranspiration to global warming: a case study of arid zone of Rajasthan (India). Agric. Water Manage., 2004, 69(1), 1–11; https://doi.org/10.1016/J.AGWAT.2004.03.014.

  • Zawawi, M. A. M., Mustapha, S. and Puasa, Z., Determination of water requirement in a paddy field at Seberang Perak rice cultivation area. J. Inst. Eng., Malays. (online), 2010, 71(4), 33–41.

  • Kuo, S.-F., Ho, S. S. and Liu, C.-W., Estimation irrigation water requirements with derived crop coefficients for upland and paddy crops in ChiaNan Irrigation Association, Taiwan. Agric. Water Manage., 2006, 82, 433–435.

  • Mishra, S. and Deodhar, S. V., Crop water requirement at Narpatganj in Kosi command area of Bihar. Indian J. Soil Conserv., 2009, 37(3), 175–180.

  • Dastane, N. G., Effective rainfall in irrigated agriculture. Irrigation and Drainage Paper No. 25, FAO, Rome, Italy, 1974.

  • Brouwer, C. and Heibloem, M., Irrigation water management: irrigation water needs. Training Manual, 3, Food and Agriculture Organisation (FAO), Rome, Italy, 1986.

  • Khandelwal, S. S. and Dhiman, S. D., Estimation of net irrigation requirements of crops in the deterministic and stochastic regimes for Limbasi canal command area. Kalpa Publ. Civ. Eng., 2017, 1, 265–272.

  • Patwardhan, A. S., Nieber, J. L. and Johns, E. L., Effective rainfall estimation methods. J. Irrig. Drain. Eng., 1990, 116(2), 182–193.

  • Supe, M. S., Taley, S. M. and Kale, M. U., Assessment of precipitation deficit using CROPWAT. Int. J. Agric. Eng., 2015, 8(1), 109–115.

  • Ali, M. H. and Mubarak, S., Effective rainfall calculation methods for field crops: an overview, analysis and new formulation. Asian J. Agric. Res., 2017, 1–12.

  • Broner, I., Irrigation Scheduling: The Water-Balance Approach, Colorado State University Cooperative Extension, Fort Collins, CO, USA, 1989, p. 4.

  • Kisekka, I., Migliaccio, K. W., Dukes, M. D., Schaffer, B. and Crane, J. H., Evapotranspiration-based irrigation scheduling for agriculture. AE457. Agricultural and Biological Engineering Department, Florida Cooperative Extension Service, IFAS, UF, Florida, USA, 2010, p. 6.

  • Andales, A. A., Chávez, J. L. and Bauder, T. L., Irrigation scheduling: the water balance approach. Fact Sheet No. 4.707. Colorado State University Extension, Fort Collins, CO, USA, 2011.

  • Ashley, R. O., Neibling, H. and King, B. A., Irrigation scheduling: using water-use tables, Cooperative Extension System, University of Idaho, USA, 1996.

  • Doorenbos, J. and Pruitt, W. O., Guidelines for predicting crop water requirements. Irrigation and Drainage Paper 24. FAO, Rome, Italy, 1984, p. 144.

  • Tyagi, N. K., Sharma, D. K. and Luthra, S. K., Determination of evapotranspiration for maize and berseem clover. Irrig. Sci., 2003, 21(4), 173–181.

  • Kashyap, P. S. and Panda, R. K., Effect of irrigation scheduling on potato crop parameters under water stressed conditions. Agric. Water Manage., 2003, 59(1), 49–66.

  • Mohan, S. and Arumugam, N., Crop coefficients of major crops in South India. Agric. Water Manage., 1994, 26(1–2), 67–80.

  • Bellingham, B. K., Method for irrigation scheduling based on soil moisture data acquisition. Irrigation District Sustainability – Strategies to Meet the Challenges, 2009, p. 383.

  • Hanson, B., Orloff, S. and Douglas, P., Monitoring soil moisture helps refine irrigation management. Calif. Agric., 2000, 54(3), 38–42.

  • Fath, B. D., Encyclopedia of Ecology, Elsevier, 2018.


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  • A smartphone application for irrigation scheduling of crops in northwestern India

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Authors

Daniel Simonet
Department of Management and Geospatial Analysis Center, American University of Sharjah, PO Box 26666, Sharjah, United Arab Emirates
Ajita Gupta
ICAR-Central Institute of Agricultural Engineering, Bhopal 462 038, India, India

Abstract


Irrigation management helps determine when and how much water must be applied to irrigate crops. A mobile application (app) has been developed for irrigation sche­duling selected crops for the semi-arid and arid regions of Rajasthan, India. These regions experience extreme temperatures in both the summer and winter months, and erratic rainfall conditions. The app uses the water balance approach to compute the most favourable irrigation cycle for a range of crops for selected locations in the state. It also utilizes meteorological, crop and soil data to derive a daily irrigation schedule for the selected month and location

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DOI: https://doi.org/10.18520/cs%2Fv123%2Fi7%2F865-873