What Is gis in Agriculture? Gis is a tool that lets users create multi-layered interactive maps that can be used for the visualization of complex data and for



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The power to readily collect and analyze farmland data is one of many reasons why geographic information systems

Remote Sensing
Remote sensing involves aerial or satellite scans of the Earth’s surface. When it comes to medium spatial resolution land remote sensing data gathered from space, Landsat is unrivaled. The Landsat 8 is an observation satellite that orbits Earth every 16 days. It records nine visible light bands helping assess crop health, nutrient content, insect infestation, or moisture. Not only does Landsat 8 record visible light, but also invisible to the human eye thermal infrared radiation (TIR).
Agriculture GIS tools visualize the collected data as digital images to better serve broad goals, such as precision irrigation or plant disease identification. In addition to Landsat 8, private companies are increasingly launching their GIS agriculture satellites for niche applications, like monitoring fields, water supplies, temperature fluctuations, and more.
Soon, EOSDA will launch into low Earth orbit its own satellite — EOS SAT-1. Its primary function will be to monitor agricultural lands. EOS SAT-1 will be the first of 7 satellites in the agriculturally focused EOS SAT constellation.
GPS
GPS and GIS integration lets farmers collect real-time data, including position. In other words, agriculture producers may boost resource utilization efficiency by employing gadgets to precisely plot where to use these resources on a given farm. GPS-enabled field mapping helps analyze crop varieties, elevation levels, field boundaries, irrigation systems, etc.

Machinery
GIS agriculture machinery sensors add “ground data” to “data from the sky” obtained by satellites. GPS tracking equipment in sowing machines, smart irrigation systems, and harvesters allows farmers to measure crop production and quality (e.g., moisture or chlorophyll levels) in real time and at a specific location. Some advanced agriculture machines may act autonomously based on the data they collect, while others are used to supplement GIS analysis.

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