|1||ICT in Water and Pest/Disease Management for Yield Improvement in Horticulture (Citrus)
Objectives: Utility of Information Communication and Dissemination Technologies in agriculture for
(i) Groundwater trends and quality
improvement for enhanced water use efficiency
(ii) Automated drip irrigation and water management.
(iii) Crop water, pest / disease monitoring and modeling services for yield improvement.
(iv) Integrated model and interoperable services.
Lead Institute: Indian Institute of Technology Bombay, Mumbai
|2||Improving Groundwater Levels and Quality through Enhanced Water Use Efficiency in Eastern Indian Agriculture. Objectives:
(i) Development of a few representative Digital Catchments in eastern India for better understanding of their spatio-temporal dynamics and water balance across various hydrologic reservoirs and their underlying cause/effect relationships at different scales.
(ii) Monitoring aquifer recharge and recovery pertaining to present agricultural and other activities at different spatial (field, catchment) and temporal (monthly, seasonal, annual) scales using wireless technology.
(iii) Evaluation of different storm-water management, innovative agricultural water management, conjunctive use of surface and ground water, and aquifer recharge techniques for reversing the declining trend of groundwater table in the study aquifers.
(iv) Study of the effect of climate variability on water resources availability in general and soil moisture availability in the root zone in particular for the eastern India through pilot experiments, historical data analysis, and simulation modeling.
(v) Formulation of regional up- and downscaling relationships for root zone soil moisture and groundwater recharge attributes using field experiments and available ISRO and NASA satellite remote sensing data.
(vi) Development of a Decision Support System (DSS) for determination of best management practices (BMP) for all scenarios of water resources management for the study catchments and groundwater aquifers and extrapolation of the findings to other basins.
Lead Institute: Indian Institute of Technology, Bhubaneswar
|3||Measurement to Management (M2M): Improved Water Use Efficiency and Agricultural Productivity through Experimental Sensor Network
Objectives: (i) To develop an experimental sensor network for monitoring of climate, soil (nutrient and fertilizer), and water conditions during the crop growing seasons at field scales;
(ii)To develop a regional crop monitoring system using the historic and near real-time remotely sensed vegetation index datasets that can monitor crop growth on a weekly basis;
(iii)To develop a hydrologic modeling framework at watershed and regional scales that can provide estimates of weekly soil moisture (drought maps), evapotranspiration, runoff, and
(iv)To use information from experimental sensor network, remote sensing monitoring and sophisticated hydrologic models to develop and test an irrigation scheduling and water management system;
(v)To evaluate the sensitivity of crop yield towards varying soil, water, and climate conditions taking information of key variables from the field and regional scale monitoring systems that can provide an assessment of potential changes in crop yields and water availability under climatic change conditions.
Lead Institute: Indian Institute of Technology, Kharagpur & Indian Institute of Technology, Gandhinagar
|4||Integrated Urban Flood Management in India: Technology-Driven Solutions
Objectives: (i) To develop real-time flood forecasting models for urban areas in the country, assimilating data and information from satellite products, Doppler weather radars, automatic weather stations and state-of- the-art numerical weather prediction and hydrologic models.
(ii) To develop operational models for real-time management of urban drainage systems using water level sensors and control systems algorithms integrated with GIS.
(iii) To develop models and methodologies for communicating the forecasts to different levels of decision making mechanisms.
(iv) To project the likely changes in the frequencies of high intensity rainfall using extreme value theory and stochastic weather generators and to examine the adequacy of capacity of the existing structural measures to cope with the changing climate.
(v) To demonstrate the application of the models and the end- to –end implementation integrating the models – sensors – decision framework through a pilot project.
(vi)To lead the development of post-flood management training and educational material.
Lead Institute: Indian Institute of Science, Bangalore
|5||Development of effective Wireless Sensor Network system for water quality and quantity monitoring (AquaSense)
Objectives: To develop an indigenous, intelligent and adaptive decision support system for on-line remote monitoring of the water flow and water quality across the wireless sensor zone to generate data pertaining to utilization of water and raising alerts in terms of mails/messages/alarm following any violation in the safety norms for the drinking water quality and usage of amount of water.
Lead Institute: University of Hyderabad