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1 Srivastava, R. C.; Satpathy, K. K. 2005. Getting more from the water and watersheds: multiple use of the resources. In Sharma, Bharat; Samra, J. S.; Scott, Christopher; Wani, S. P. (Eds.). Watershed management challenges: improving productivity, resources and livelihoods. Colombo, Sri Lanka: International Water Management Institute (IWMI); Indian Council of Agricultural Research (ICAR); International Crops Research Institute for Semi-Arid Tropics (ICRISAT) pp.82-94.
Watershed management ; Costs ; Tanks ; Wells ; Canals ; Irrigation water ; Runoff ; Recycling ; Farming systems ; Tube wells / India / Bhubaneswar
(Location: IWMI HQ Call no: IWMI 333.91 G635 SHA Record No: H037667)
2 Narain, S.; Srinivasan, R. K.; Banerjee, S.; Chaudhuri, J. 2012. Excreta matters 71 cities [in India]: a survey. Vol. 2. New Delhi, India: Centre for Science and Environment (CSE). 486p.
Water resources ; Water pollution ; Excreta ; Urban areas ; Highlands ; Water demand ; Water supply ; Water distribution ; Water use ; Groundwater ; Sewage ; Waste disposal ; Wastewater treatment ; Wastewater management ; Water security ; Water quality ; Economic aspects ; Rivers ; Lakes ; Wetlands ; Drainage systems ; Sanitation ; Wells ; Pipes / India / Himalaya / Dehrdun / Jammu / Mussoorie / Nainital / Srinagar / Uttarkashi / Indo-Gangetic Plains / Agra / Allahabad / Amritsar / Bathinda / Delhi / Faridabad / Gurgaon / Kanpur / Lucknow / Mathura / Meerut / Patna / Yamunanagar / Jagadhri / Punjab / Khanna / Malout / Mansa / Budhlada / Baretta / Bhucho / Goniana / Kot Fatta / Maur / Raman / Rampura / Sangat / Eastern Highlands / Dhanbad / Hazaribagh / Ranchi / The northeast / Aizawl / Guwahati / Siliguri / The Desert / Alwar / Bhilwara / Jaipur / Jodhpur / Udaipur / Central Highlands / Bhopal / Dewas / Gwalior / Indore / Jabalpur / Jhansi / Nagpur / Rajkot / Ujjain / Vadodara / The Deccan / Aurangabad / Bangaluru / Baramati / Hubli-Dharwad / Hyderabad / Pune / Solapur / Tumkur / Coastal Cities / Bhubaneswar / Chennai / Cuttack / Kolkata / Kozhikode / Mumbai / Puducherry / Srikakulam / Surat / Thane / Thiruvananthapuram
(Location: IWMI HQ Call no: 631.7.5 G635 NAR Record No: H044743)
(0.32 MB)
3 Keswani, B.; Mohapatra, A. G.; Keswani, P.; Khanna, A.; Gupta, D.; Rodrigues, J. J. P. C. 2020. Improving weather dependent zone specific irrigation control scheme in IoT and big data enabled self driven precision agriculture mechanism. Enterprise Information Systems, 23p. (Online first) [doi: https://doi.org/10.1080/17517575.2020.1713406]
Precision agriculture ; Irrigation scheduling ; Decision support systems ; Internet ; Neural networks ; Soil water content ; Forecasting ; Crops ; Farmland ; Weather ; Models / India / Bhubaneswar
(Location: IWMI HQ Call no: e-copy only Record No: H049681)
(3.53 MB)
Precision agriculture involves manipulation of variations in field productivity, maximization of income, scale backing of wastes, and minimizing of the impact on surroundings using automated machine-controlled information assortment and documentation. This work focuses on the efficient control of farm irrigation by exploiting the capabilities of Internet of Things (IoT) and Big Data-based Decision Support System (DSS) to generate adequate valve control commands. Three varieties of prediction techniques such as Deep Neural Network (DNN), Random Forest (RF) and Resilient Back-Propagation Neural Network model are tested to predict soil Moisture Content (MC) in one hour advance by considering 6 numbers of different sensors. The real-time data collection is performed using the proposed IoT node deployment strategy tested in the field. An integrated IoT-based DSS framework is proposed to accumulate 17 numbers of soil and environmental parameters to predict future variation of soil MC in 1 h advance. Further, Structural Similarity (SSIM) Index is used to visualize and maintain uniform MC all over the agriculture area during the entire cropping period. Site and zone specific irrigation control scheme is tested in the test site using fuzzy logic-based weather dependent model. The complete system architecture, deployment strategy and performance of the proposed IoT-based DSS mechanism is discussed in this article.
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