Application of Digital Technologies & Remote Sensing in Precision Agriculture for Sustainable Crop Production

dc.contributor.authorMohammad Usama
dc.date.accessioned2025-01-25T06:29:14Z
dc.date.issued2024
dc.descriptionBook: Geospatial Technology to Support Communities and Policy Pathways to Resiliency Editors Swagata Ghosh Maya Kumari Varun Narayan Mishra
dc.description.abstractAbstract Soil is an abiotic component of environment which provides habitat for soil microflora and fauna which is very essential for good health. Anthropogenic activities can alter soil and affect health of soil. These activities include excess use of chemical fertilizers, pesticides, irrigation, faulty agricultural practices, modern machinery, shifting cultivation etc. Alternative exists in the form of precision agri-culture, as it will help in practicing agriculture in a way that will contribute towards sustainable rural development. The challenge for rural India is to feed more people from shrinking agricultural land and without having much negative consequence on our environment. This may be possible through precision agriculture as we have the correct information collected through satellite as well as aerial imagery about weather conditions and the needs of our agricultural land and also about crops in terms of requirement of fertilizers, pesticides, irrigation facility etc. By adopting precision agriculture, we would be able to rejuvenate and maintain good soil health. So, precision agriculture can be called the future of sustainable agriculture in India and around world, as this only has the potential to feed the millions of people with least negative consequence on Human life and Environment.
dc.identifier.isbn9783031525605
dc.identifier.urihttp://136.232.12.194:4000/handle/123456789/1108
dc.language.isoen_US
dc.publisherSpringer Nature
dc.subjectPrecision agriculture
dc.subjectSustainable agriculture
dc.subjectArtificial intelligence
dc.subjectDrones
dc.subjectGlobal positioning system
dc.subjectSensors
dc.subjectFertilizers
dc.subjectyield Machine data
dc.subjectInternet of things
dc.subjectSatellite imagery
dc.titleApplication of Digital Technologies & Remote Sensing in Precision Agriculture for Sustainable Crop Production
dc.typeBook chapter

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