{"id":11322,"date":"2016-07-12T16:57:48","date_gmt":"2016-07-12T21:57:48","guid":{"rendered":"http:\/\/gisgeography.com\/?p=11322"},"modified":"2025-03-31T05:06:37","modified_gmt":"2025-03-31T10:06:37","slug":"farming-agriculture-technology","status":"publish","type":"post","link":"https:\/\/gisgeography.com\/farming-agriculture-technology\/","title":{"rendered":"GIS Agriculture Technology: How To Win the Farm"},"content":{"rendered":"\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1200\" height=\"487\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Agriculture-Technology.jpg\" alt=\"Agriculture Technology\" class=\"wp-image-96555\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Agriculture-Technology.jpg 1200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Agriculture-Technology-300x122.jpg 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Agriculture-Technology-678x275.jpg 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Agriculture-Technology-768x312.jpg 768w\" sizes=\"auto, (max-width: 1200px) 100vw, 1200px\" \/><\/figure>\n\n\n\n<div class=\"wp-block-group\" style=\"padding-top:var(--wp--preset--spacing--30);padding-bottom:var(--wp--preset--spacing--30)\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<h2 class=\"wp-block-heading\">Agriculture Technology from Location<\/h2>\n\n\n\n<p>Today&#8217;s farmers use sophisticated <strong>agriculture technology<\/strong> because they can save time and money.<\/p>\n\n\n\n<p>Because crops are location-based, this makes <a href=\"https:\/\/gisgeography.com\/what-is-gis\/\" target=\"_blank\" rel=\"noopener noreferrer\">Geographic Information Systems (GIS)<\/a> an EXTREMELY relevant tool for farmers.<\/p>\n\n\n\n<p>For example, farmers use precision GPS on the field to save fertilizer. Also, satellites and drones collect vegetation, topography, and weather information from the sky.<\/p>\n\n\n\n<p>All this data can go into <a href=\"http:\/\/gisgeography.com\/agriculture-maps-global-farming\/\" target=\"_blank\" rel=\"noopener noreferrer\">agriculture maps<\/a> for better decision-making. Let&#8217;s look at some other agriculture technology examples.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group\" style=\"padding-top:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--40)\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<h3 class=\"wp-block-heading\">1. Data from the Machine &#8211; Precision Farming<\/h3>\n\n\n\n<p>Farmers use precision agriculture because they can reduce the amount of fertilizer applied to the field.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"alignright\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"194\" src=\"http:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Precision-Agriculture-GIS-GPS-USDA-300x194.jpg\" alt=\"Precision Agriculture GIS\" class=\"wp-image-11392\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Precision-Agriculture-GIS-GPS-USDA-300x194.jpg 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Precision-Agriculture-GIS-GPS-USDA-678x437.jpg 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Precision-Agriculture-GIS-GPS-USDA-768x495.jpg 768w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Precision-Agriculture-GIS-GPS-USDA-50x32.jpg 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Precision-Agriculture-GIS-GPS-USDA-200x129.jpg 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Precision-Agriculture-GIS-GPS-USDA-425x274.jpg 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Precision-Agriculture-GIS-GPS-USDA-550x355.jpg 550w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Precision-Agriculture-GIS-GPS-USDA-115x74.jpg 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Precision-Agriculture-GIS-GPS-USDA-850x548.jpg 850w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Precision-Agriculture-GIS-GPS-USDA-240x155.jpg 240w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Precision-Agriculture-GIS-GPS-USDA.jpg 1068w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><figcaption class=\"wp-element-caption\">Precision Agriculture | Photo courtesy of USDA NRCS<\/figcaption><\/figure>\n<\/div>\n\n\n<p>Not only do farmers save money on fertilizer, but they save the environment from over-application. This is because a lot of the excess fertilizer tends to end up in streams and rivers by runoff.<\/p>\n\n\n\n<p>Precision farming applies fertilizer only where it&#8217;s needed. It&#8217;s site-specific.<\/p>\n\n\n\n<p>Sensors on a machine gather information about the crops. Also, the GPS gives you the exact position on the field. Precision farming then applies a variable rate of fertilizer to nutrient-deficient sites.<\/p>\n\n\n\n<p>The farmer who uses precision farming can save anywhere in the ballpark of 2-15$ per acre. Over time, this makes an incredible investment.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group\" style=\"padding-top:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--40)\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<h3 class=\"wp-block-heading\">2. Data from the Sky &#8211; Satellites and Drones<\/h3>\n\n\n\n<p>What do crops need to grow? Other than sunlight and nutrients, plants need the right amount of water. Too much (flooding) or little (drought) water impacts crop growth.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"alignright\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"238\" src=\"http:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Irrigation-Center-Pivot-Irrigation-USGS-300x238.jpg\" alt=\"Center-pivot Irrigation\" class=\"wp-image-11391\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Irrigation-Center-Pivot-Irrigation-USGS-300x238.jpg 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Irrigation-Center-Pivot-Irrigation-USGS-678x538.jpg 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Irrigation-Center-Pivot-Irrigation-USGS-768x609.jpg 768w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Irrigation-Center-Pivot-Irrigation-USGS-50x40.jpg 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Irrigation-Center-Pivot-Irrigation-USGS-200x159.jpg 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Irrigation-Center-Pivot-Irrigation-USGS-425x337.jpg 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Irrigation-Center-Pivot-Irrigation-USGS-550x436.jpg 550w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Irrigation-Center-Pivot-Irrigation-USGS-115x91.jpg 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Irrigation-Center-Pivot-Irrigation-USGS-850x674.jpg 850w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Irrigation-Center-Pivot-Irrigation-USGS-195x155.jpg 195w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Irrigation-Center-Pivot-Irrigation-USGS.jpg 1000w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><figcaption class=\"wp-element-caption\">Center-pivot Irrigation Landsat satellite | Image credit: NASA<\/figcaption><\/figure>\n<\/div>\n\n\n<p>Satellite technologies like <a href=\"https:\/\/earth.esa.int\/eogateway\/missions\/smos\" target=\"_blank\" rel=\"noopener noreferrer\">Soil Moisture Ocean Salinity (SMOS)<\/a> collect real-time microwave energy from the Earth&#8217;s surface. This can better forecast crop production and <a href=\"https:\/\/gisgeography.com\/drought-maps\/\">monitor drought<\/a> and flooding.<\/p>\n\n\n\n<p><a href=\"http:\/\/landsat.usgs.gov\/\" target=\"_blank\" rel=\"noopener noreferrer\">Landsat satellites<\/a> analyze the greenness of vegetation using indices like the <a href=\"https:\/\/gisgeography.com\/how-to-ndvi-maps-arcgis\/\" target=\"_blank\" rel=\"noopener noreferrer\">Normalized Difference Vegetation Index (NDVI)<\/a>. We have a local and global estimate of crop productivity for the entire planet from a <a href=\"https:\/\/gisgeography.com\/free-satellite-imagery-data-list\/\" target=\"_blank\" rel=\"noopener noreferrer\">long list of satellites<\/a> orbiting the Earth.<\/p>\n\n\n\n<p>What can drones collect on a field?<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Plant height, count, and biomass estimates<\/li>\n\n\n\n<li>Presence of disease and weeds<\/li>\n\n\n\n<li>Plant health and field nutrients<\/li>\n\n\n\n<li>3D elevation and volumetric data<\/li>\n<\/ul>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"alignright size-medium\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"194\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Drone-USDA-300x194.jpg\" alt=\"Drone USDA\" class=\"wp-image-96541\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Drone-USDA-300x194.jpg 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Drone-USDA-678x439.jpg 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Drone-USDA-768x498.jpg 768w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Drone-USDA.jpg 1000w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/figure>\n<\/div>\n\n\n<p>Instead of workers scouting fields, drones can cover more ground. Drones can inspect crop health from the sky and where plant stress is occurring.<\/p>\n\n\n\n<p>Farmers can make actionable decisions on applying nitrogen and monitoring yields. Farmers can use precision watering sensors because they know <em>where<\/em> it&#8217;s needed most. They can combat the spread of pests by identifying critical intervention areas.<\/p>\n\n\n\n<p>One small drone can help make some VERY powerful decisions for farmers.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group\" style=\"padding-top:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--40)\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<h3 class=\"wp-block-heading\">3. Data online &#8211; Real-time mapping<\/h3>\n\n\n\n<p>The <a href=\"http:\/\/www.usda.gov\" target=\"_blank\" rel=\"noopener noreferrer\">United States Department of Agriculture (USDA)<\/a> National Agricultural Statistics Services (NASS) developed the mapping application <a href=\"https:\/\/nassgeodata.gmu.edu\/CropScape\/\" target=\"_blank\" rel=\"noopener noreferrer\">CropScape<\/a> where farmers can obtain acreage estimates of crop types.<\/p>\n\n\n\n<p>In the application, farmers can see <em>what<\/em> crops are growing <em>where<\/em> and <em>how much<\/em>. In addition, the government has also used CropScape on issues like food security, land cover change, and pesticide control.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"493\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/USDA-Cropscape.jpg\" alt=\"USDA Cropscape\" class=\"wp-image-96559\" style=\"width:700px\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/USDA-Cropscape.jpg 1000w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/USDA-Cropscape-300x148.jpg 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/USDA-Cropscape-678x334.jpg 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/USDA-Cropscape-768x379.jpg 768w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><\/figure>\n\n\n\n<p>On a global scale, the Food and Agriculture Organization of the United Nations AgroMap breaks down primary food crops with its global spatial database of agricultural land-use statistics.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"425\" height=\"177\" src=\"http:\/\/gisgeography.com\/wp-content\/uploads\/2014\/12\/world-hunger-map-425x177.png\" alt=\"world hunger map\" class=\"wp-image-2853\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2014\/12\/world-hunger-map-425x177.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2014\/12\/world-hunger-map-300x125.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2014\/12\/world-hunger-map-50x21.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2014\/12\/world-hunger-map-200x83.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2014\/12\/world-hunger-map-550x229.png 550w, https:\/\/gisgeography.com\/wp-content\/uploads\/2014\/12\/world-hunger-map-115x48.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2014\/12\/world-hunger-map-372x155.png 372w, https:\/\/gisgeography.com\/wp-content\/uploads\/2014\/12\/world-hunger-map.png 600w\" sizes=\"auto, (max-width: 425px) 100vw, 425px\" \/><\/figure>\n\n\n\n<p>For large-scale planning, online tools like <strong>plant hardiness<\/strong> define suitable climatic growing areas for different types of crops.<\/p>\n\n\n\n<p>Likewise, the Canadian Land Inventory was the first GIS data set produced. Its purpose was to classify the varying potential for agricultural production in Canada.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group\" style=\"padding-top:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--40)\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<h3 class=\"wp-block-heading\">Modeling and Mashing data sets<\/h3>\n\n\n\n<p>Researchers are mashing together various inputs to better model and understand crop production.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"alignright\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"164\" src=\"http:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/NOAA-Weather-300x164.jpg\" alt=\"NOAA Weather Map\" class=\"wp-image-11397\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/NOAA-Weather-300x164.jpg 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/NOAA-Weather-678x371.jpg 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/NOAA-Weather-768x421.jpg 768w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/NOAA-Weather-50x27.jpg 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/NOAA-Weather-200x110.jpg 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/NOAA-Weather-425x233.jpg 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/NOAA-Weather-550x301.jpg 550w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/NOAA-Weather-115x63.jpg 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/NOAA-Weather-850x465.jpg 850w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/NOAA-Weather-283x155.jpg 283w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/NOAA-Weather.jpg 1103w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/figure>\n<\/div>\n\n\n<p>The Crop Assimilation Model (CAM) and Soil-Water-Air-Plant (SWAP) in <a href=\"https:\/\/gisgeography.com\/grass-gis-geographic-resources-analysis-support-system\/\">GRASS GIS<\/a> serve as crop productivity monitoring tools by simulating soil, water, and crop processes.<\/p>\n\n\n\n<p>The Length of the Growing Period (LGP) is when crops meet the full evapotranspiration demands of precipitation and soil moisture-holding capacity. Each crop type has specific moisture requirements making LGP difficult to calculate.<\/p>\n\n\n\n<p>The Erosion-Productivity Impact Calculator (EPIC) models crop yields and irrigation requirements for climate change. While the Agricultural Non-Point Source (AGNPS) Model predicts the effects of agriculture on water quality.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"alignright\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"204\" src=\"http:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Baseline-Soil-Moisture-300x204.jpg\" alt=\"Baseline Soil Moisture\" class=\"wp-image-11394\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Baseline-Soil-Moisture-300x204.jpg 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Baseline-Soil-Moisture-50x34.jpg 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Baseline-Soil-Moisture-200x136.jpg 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Baseline-Soil-Moisture-425x290.jpg 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Baseline-Soil-Moisture-550x375.jpg 550w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Baseline-Soil-Moisture-115x78.jpg 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Baseline-Soil-Moisture-228x155.jpg 228w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Baseline-Soil-Moisture.jpg 640w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/figure>\n<\/div>\n\n\n<p>&#8230;And the Versatile Soil Moisture Budget (VSMB) simulates soil moisture conditions of cropland areas taking into account evapotranspiration, rainfall, runoff, and other factors.<\/p>\n\n\n\n<p>Geographic Information Systems assist decision-support. Reducing Emissions from Deforestation and forest Degradation (REDD) by <a href=\"https:\/\/gisgeography.com\/idrisi-terrset-clark-laboratories\/\">IDRISI<\/a> determines the opportunity cost of potential agricultural revenue versus deforestation.<\/p>\n\n\n\n<p><a href=\"http:\/\/gisgeography.com\/slope-aspect-microclimate-south-facing\/\" target=\"_blank\" rel=\"noopener noreferrer\">Aspect and microclimate<\/a> can locate potential areas that can be harvested like the south-facing slopes of the Swiss Alps. The south-facing slopes shelter from cold and dry winds which is critical to successful crop growth.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group\" style=\"padding-top:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--40)\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<h3 class=\"wp-block-heading\">Meeting Future Food Demand<\/h3>\n\n\n\n<p>How can we fulfill the needs of a growing and increasingly affluent population? Agriculture technology is helping diagnose food security like in this Feeding the World Story Map.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"alignright\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"201\" src=\"http:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Arable-Land-USGS-300x201.jpg\" alt=\"Arable Land\" class=\"wp-image-11401\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Arable-Land-USGS-300x201.jpg 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Arable-Land-USGS-678x455.jpg 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Arable-Land-USGS-768x515.jpg 768w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Arable-Land-USGS-50x34.jpg 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Arable-Land-USGS-150x100.jpg 150w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Arable-Land-USGS-200x134.jpg 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Arable-Land-USGS-425x285.jpg 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Arable-Land-USGS-550x369.jpg 550w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Arable-Land-USGS-115x77.jpg 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Arable-Land-USGS-850x570.jpg 850w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Arable-Land-USGS-231x155.jpg 231w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/07\/Arable-Land-USGS.jpg 1029w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><figcaption class=\"wp-element-caption\">Arable Land in Saudi Arabia where 80% of its water goes to agriculture | Image Credit: USGS<\/figcaption><\/figure>\n<\/div>\n\n\n<p>Can we learn from <a href=\"https:\/\/gisgeography.com\/free-historical-imagery-viewers\/\">historical imagery and data<\/a>? Landsat satellite data provides a unique view of historical agricultural land. When you plot historical trends of land use over time, is there enough arable land to serve a growing population?<\/p>\n\n\n\n<p>Maps serve the purpose of raising awareness about global hunger and places that are in need like the <a href=\"http:\/\/www.fao.org\/hunger\" target=\"_blank\" rel=\"noopener noreferrer\">FAO Hunger Map<\/a> and <a href=\"https:\/\/www.wfp.org\/food-security-analysis\" target=\"_blank\" rel=\"noopener noreferrer\">World Food Programme Food Security Analysis<\/a>.<\/p>\n\n\n\n<p>Overall, satellite, mobile collection, and GIS data are safeguarding food-insecure populations by establishing underlying causes.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group\" style=\"padding-top:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--40)\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<h3 class=\"wp-block-heading\">Summary: Agriculture Technology<\/h3>\n\n\n\n<p>Precision farming, satellites, drones, web maps, and sophisticated models &#8211; this list represents some of the <strong>agriculture technologies<\/strong> that farmers and researchers use today.<\/p>\n\n\n\n<p>The modern-day farmer needs to understand a lot more than just what to seed &#8211; soils, weeds, nutrients, weather, insects, disease, machinery, and climate.<\/p>\n\n\n\n<p>These emerging trends provide the location intelligence farmers need to get the job done faster and with more knowledge.<\/p>\n\n\n\n<p>What are some of the other growing trends in agriculture technology that you know of?<\/p>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Today&#8217;s farmers use sophisticated agriculture technology because they can save time and money. Location-based GIS helps farmers solve the answer &#8216;where&#8217;.<\/p>\n","protected":false},"author":2,"featured_media":96555,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","_kad_post_transparent":"default","_kad_post_title":"default","_kad_post_layout":"default","_kad_post_sidebar_id":"","_kad_post_content_style":"default","_kad_post_vertical_padding":"default","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","footnotes":""},"categories":[250],"tags":[267],"class_list":["post-11322","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-gis-career","tag-gis-applications"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>GIS Agriculture Technology: How To Win the Farm - GIS Geography<\/title>\n<meta name=\"description\" content=\"Today&#039;s farmers use sophisticated agriculture technology because they can save time and money. 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