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7 Benefits of Using Remote Sensing & GIS in Agriculture

Remote sensing and geographic information systems (GIS) have exploded in popularity in numerous industries for visualization, monitoring, management, and prospective development over the last few decades.<br>Visit: https://www.falconsurveyme.com/

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7 Benefits of Using Remote Sensing & GIS in Agriculture

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  1. 7 Benefits of Using Remote Sensing & GIS in Agriculture

  2. For real-time weather analysis and forecasts, floods, and agricultural areas seeded, lost, or damaged owing to floods and rainfall, remote sensing and Geographic Information System (GIS) technologies are often utilised. Remote sensing and geographic information systems (GIS) have exploded in popularity in numerous industries for visualisation, monitoring, management, and prospective development over the last few decades. Without making any physical touch, remote sensing and GIS technology enable agencies to obtain trustworthy information on natural and man-made features, as well as process and interpret suitably phenomena occurring over the earth’s surface. Farmers nowadays rely on technical advancements.

  3. Estimation of Crop Sown Area Crop sown area estimation is one of the most important aspects of agricultural remote sensing. In mapping and monitoring diverse crops’ sown area estimation, remote sensing is critical. Sentinel-1, 2, Landsat-8, Worldview-3, LISS-IV, and other satellite data give precise crop sown area and aid in agricultural loss estimates due to various catastrophic catastrophes.

  4. Normalized Difference Vegetation Index (NDVI) his is generally used to monitor vegetation dynamics, especially for determining crop health status. The possibility of knowing crop phenology increases with NDVI since it explains crop chronology and its relationship to weather and climate (season).

  5. Crop Diseases Identification Remote sensing technology allows for the spatial distribution of disease and pest information across a broad region at a reasonable cost. Crop infected areas such as Mealybug, Planthopper, and White Fly are found using satellite images and spatial analytic tools to provide an overview for analysing possibly contaminated areas.

  6. Soil Properties Soil qualities are important in farm management since they directly affect yield production. Changes in farming systems and land management cause soil changes, compromising current and future capacity for primary production and crop provision, as well as micronutrient mapping.

  7. Flood Impact The bulk of farmland is devastated every year during the Kharif season owing to flash floods or severe rains. Satellite remote sensing delivers valuable information by combining satellite pictures with ground-based data gathered by ground surveying teams to calculate precise damage assessments.

  8. NATCAT Modelling Natural catastrophe modelling is a method that uses a probabilistic technique to anticipate the outcome and behaviour of natural hazards in real time or as a probable forecast. This involves risk mapping and hazard measurement utilising computer-simulated catastrophe models.

  9. Drone Image Analysis for Crop Damage Assessment Drone image analysis is particularly beneficial in micro-level crop evaluation for hailstorm crop loss, horticulture tree counting, illnesses, and many other applications.

  10. Read More: https://falconsurveyme.wordpress.com/2022/05/24/7-benefits-of-using-remote-sensing-gis-in-agriculture/

  11. Contact Details: #209, 2nd Floor - Apricot Tower P.O. Box : 238544, Dubai Silicon Oasis Dubai - United Arab Emirates +97143271414 info@falconsurveyme.com

  12. Thank You

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