Upgrading water use in agricultural crops requires advancements in location of crop water stress for irrigation scheduling, at different phases of the developing season to limit crop physiological harm and yield reduction. Potential of satellite data provide spatial and temporal dynamics of crop growth condition under water stress and analyse for suggestion of irrigation. This study is based on real time open-source web-based Google Earth Engine (GEE) approach for irrigation scheduling at field level based on its water stress condition. Sentinel-2 data was used for detecting water stress using the NDVI and NDWI indices. NDVI shows the crop growth and health whereas NDWI its water stress condition, by combining both the indices we have generated a new index, which is Crop Water Stress Index (CWSI) to schedule the irrigation. The real time Sentinel-2 data was used extract NDVI and NDWI indices and by combining both the indices a new indice was generated for detecting crop water stress condition to schedule the irrigation in real time. The output comes in five group of water stress condition as; No Stress, Low stress, Moderate stress, High stress and Severe stress. Using the result of CWSI the immediate irrigation should be given to those fields which are facing severe and high stress, delayed in moderate and low stress and no irrigation in no-stress. The overall study indicates that, GEE provide a real time better platform for analysing Crop Water Stress situation for scheduling proper irrigation practices for proper growth of crops to improve the production and income of farmers as well as It helps the irrigation planner for proper management of canals and other irrigation resources to the wastage of water.
The Government of India has promoted the expansion of access to and uptake of intrauterine devices (IUDs), during both the interval (IIUD) and postpartum (PPIUD) periods, as part of its Family Planning 2020 initiative. This study, conducted by EngenderHealth as part of the Expanding Access to IUD Services in India project, examines IIUD and PPIUD continuation rates over time and investigates factors associated with IUD continuation. We recruited respondents (N = 5024) through a repeated cross-sectional household study between February and December 2019. We identified respondents using IUD client data from public health facility registers in 20 districts of Gujarat and Rajasthan. We compared continuation rates for IIUD and PPIUD adopters and used regression analyses to measure the association between continuation and demographic, quality of care, and counselling variables. IIUD continuation rates decreased from 85.6% to 78.3% and PPIUD rates decreased from 78.5% to 70.7% between month 3 and month 12. Clients experiencing side effects or other problems were 15 times more likely to discontinue IUD use than clients who did not. Clients who received IUD counselling prior to insertion were more likely to continue than those who did not. IUD continuation increased significantly in cases where both partners jointly selected the method compared to situations where women decided alone. Several sociodemographic factors were associated with continuation. Our study demonstrates the value and benefits of programmes offering IUD services emphasising quality counselling and client-centred care to increase access, uptake, and continuation.
<p><strong>Abstract.</strong> The crop suitability is the process of assessing the appropriateness or ability of a given type of land on the basis of growing conditions of a particular crop. The study focused on the crop suitability analysis of cereal crops for their production in Uttar Pradesh. Information about crop suitability is essential for proper management of agriculture in the study area. Remote sensing and GIS data provide a reliable information and technique to find suitable land for crops. The research was based on GIS based Multi-Criteria Decision Approach. The AMSR-2 (Advance Microwave Scanning Radiometer) soil moisture data, Carto-DEM, soil chemical and physical properties and climate data were used to identify the crop suitability in the study area. Weightage of different factors was arrived at based on input and feedback from experts. An Analytical Hierarchical Process (AHP) was used in ArcGIS environment to generate suitability map for the cereals crop. The suitability map has been categorised in the form of highly suitable, moderately suitable, low suitable and non-agricultural/ non-suitable region of the study area for Wheat, Rice, Sorghum, Maize and Pearl Millet/Bajra.</p><p>The overall study indicates that the study area has a huge potential of cereal crop production. Therefore, improved levels of agricultural production can be achieved by cultivating crop in highly and moderately suitable areas; and practicing diversification of marginally suitable areas to crops other than that for which it is low suitable.</p>
The 23 Down Haidergarh Canal command system of Uttar Pradesh is situated in Indo-Gangetic Plain of India. It has huge potential of crop productivity. The canal system was unlined; due to which a huge amount of water waste as seepage, which results, waterlogging and sodic land development. This leads reduction in the productivity of crop land. To overcome with this problem government started the restructuring/lining of canal in 23 Down Haidergarh canal command system.The present study was an attempt to find out the changes in agricultural land of rabi season because during rabi season canal is important source of irrigation in23 Down Haidergarh canal command system. Remote sensing and GIS techniques were used to monitor the changes after the restructuring of canal system. The LISS-III data (Linear Imaging Self-Scanner) of Rabi season for the year 2011-12 and 2017-18 was used for mapping of agricultural land use changes in rabi season for23 Down Haidergarh canal command system. This study is useful to find out the change in agricultural land after the restructuring of canal command system.
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