Geoinformatics-Based Monitoring of Nutrient Use Efficiency and Soil Health
dc.contributor.author | P. Smriti Rao, Ashish david, Raghunandan Khatana, Akshita barthwal, Ashima Thomas, Tarence Thomas, Cyril Ashish Thomas | |
dc.date.accessioned | 2024-11-21T05:44:03Z | |
dc.date.issued | 2024 | |
dc.description | Book: Geoinformatics An Emerging Approach for Sustainable Crop Production and Food Security Editors: Vishnu D. Rajput, PhD Abhishek Singh, PhD Tatiana Minkina, PhD Anil Kumar Singh, PhD Narendra Pratap Singh, PhD | |
dc.description.abstract | An improved crop research and advisory program includes soil survey. It is a detailed inventory of the area’s soil resource and gives comprehensive information on soils. It provides the data required to plan land-use and soilmanagement initiatives. A database of soil characteristics is obtained using the soil survey report and field samples. The soil survey report is mainly based on a low-intensity survey, but it can be utilized for a variety of planning objectives. Soil analysis, creation of various vegetation indices, digital elevation model (DEM), land use land cover, and many other technologies 200benefit from geographical information System (GIS), remote sensing (RS), photogrammetry, global positioning system (GPS), and other technologies. These tools are important in modern agriculture and aid in the promotion of precision farming. The purpose of geoinformation technology is to collect, analyze, and interpret geographic data. This includes GIS, GPS, RS, and any other new geospatial technologies. Ground penetrating radar (GPR) operates radar pulses to examine subsurface components or the soil substrate. GPR is a non-invasive and cost-effective method of analyzing soil characteristics. The use of GPS technology is then required to link the mapping capabilities with the imagery or data collected on the GPS itself. Handheld GPS is used to collect data such as digitizing borders or identifying prominent landmarks. With the use of GIS software, all of this RS data is mapped and analyzed. Land managers, soil scientists, researchers, and many others can then use these computational models to make well-informed recommendations. | |
dc.identifier.isbn | 978-1-77491-628-5 | |
dc.identifier.uri | http://136.232.12.194:4000/handle/123456789/1034 | |
dc.language.iso | en_US | |
dc.publisher | Apple Academic Press,Taylor & Francis Group | |
dc.subject | Agriculture | |
dc.title | Geoinformatics-Based Monitoring of Nutrient Use Efficiency and Soil Health | |
dc.type | Book chapter |