REMOTE SENSING IN AGRICULTURE

Authors

  • SARVAPRIYA SINGH Assistant Professor, School of Humanities and Social Sciences NIILM University, Kaithal, Haryana

DOI:

https://doi.org/10.36676/urr.v11.i5.1552

Keywords:

AGRICULTURE, REMOTE SENSING

Abstract

Agricultural sector in India is the most  dynamic sector having vast  renewable natural resources. In India, agriculture sector is the primary activity and alone can sustain the livelihood of most of the population about 46% and  also its contribution is highest to the net national product. Increasing agricultural productivity has been the main concern  in India. Therefore  judicious and optimal management of both land and water resources is the utmost need of an hour. Presently, agriculture faces problems like- Anthropogenic decreases in soil fertility, soil sickness, environmental pollution, wide yield gap, GHG emission, and also  unpredictable weather due to climate change, increased intensity of pest and diseases, Water use inefficiency . The technologies like  remote sensing and spatial data analysis makes it possible to  create strategies for narrowing yield gap, climate smart agricultural practices, cropping calendar, and improve production in quality and quantity. During the last two decades, remote sensing techniques are applied to explore agriculture applications such as crop growth monitoring (plant populations, nutrient deficiencies, diseases, water deficiency or surplus, weed infestations, insect & herbicide damage), comprehensive and reliable information on land use\cover, forest area, soils, geological information, extent of wastelands, agriculture crops, water resources (both surface and underground) and also timely information on  hazard\natural calamities like drought and flood, wind and hail damage through remote sensing is blessings in agriculture 

References

Baiya, B and M. Hashim.(2019) "Mapping the effects of agricultural development to water yield using remote sensing." IAPRS - International Archives of the Photogrammetric, Remote Sensing and Spatial Information Sciences XLII-4/W16 (October 1, 2019): 131–36.

RoRahul Malik, Akshay Dhande.(2016) "Hyper spectral remote sensing for damage detection and classification models in agriculture”

Todd Allen.(2016) " Identification of agricultural land use in California through remote sensing." DigitalCommons@CalPol .

Wang, Lingli.(2008) "Remote sensing techniques for soil moisture and agricultural drought monitoring." Fairfax, VA : George Mason University .

National Symposium on Remote Sensing for Agricultural Applications (1990) New Delhi, India. Remote sensing for agricultural applications: Proceedings of National Symposium on Remote Sensing for Agricultural Applications, December 6-8, New Delhi.

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Published

2024-12-31
CITATION
DOI: 10.36676/urr.v11.i5.1552
Published: 2024-12-31

How to Cite

SINGH, S. (2024). REMOTE SENSING IN AGRICULTURE. Universal Research Reports, 11(5), 81–86. https://doi.org/10.36676/urr.v11.i5.1552

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Section

Original Research Article