{"id":11994,"date":"2024-03-13T12:00:12","date_gmt":"2024-03-13T10:00:12","guid":{"rendered":"https:\/\/agras.bg\/?p=11994"},"modified":"2024-03-14T11:23:17","modified_gmt":"2024-03-14T09:23:17","slug":"introducing-drone-technology-for-precise-agricultural-cotton-production","status":"publish","type":"post","link":"https:\/\/agras.bg\/en\/introducing-drone-technology-for-precise-agricultural-cotton-production\/","title":{"rendered":"Introducing Drone Technology for Precise Agricultural Cotton Production"},"content":{"rendered":"\t\t
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Background<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Cotton, the most important fiber crop in the world, plays a significant role in the economics of many countries. In the crop year 2020\/2021,[1]<\/a> China, India, and the United States ranked as the top three producers of cotton. China ranked second behind Australia in average yield \u2013 1,879 kg per hectare. High yield is not only due to a high mechanization rate but also precise management by cotton farmers. Cotton farmers make many decisions across the growing season \u2013 sowing, reseeding, fertilization, growth regulation, pesticide spraying, defoliant application, etc.<\/p>

\u00a0<\/p>

In order to improve crop scouting efficiency, reduce chemical usage, and boost yield, cotton farmers in China\u2019s Xinjiang Province are adopting drone technology in both field scouting and chemical application.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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The Mission<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tGongxu Chen is a cotton farmer in Xinjiang, China, who manages 300ha of cotton fields. Formerly, in order to optimize yield, he applied Mepiquat chloride, a chemical used as a growth regulator in cotton, 6-7 times in one growing season to tune the height and canopy of the cotton plants. Before each application, Gongxu walked the field on foot and selected around three sample locations in every ten hectares to take individual height measurements. This year, he used DJI\u2019s P4 Multispectral drone to help with field scouting. In one 25-minute flight, the P4 Multispectral drone captured 45 hectares of imagery. The imagery was post-processed in DJI Terra software to generate RGB mapping and vegetation indices, including NDVI. In less than one day, Gongxu received an NDVI growth map of his 300ha cotton farm, showing the growth variation of the whole field. With this map, Gongxu was able to segment his fields into growth zones and strategically place sampling locations for further inspection.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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RGB imagery and NDVI map of 45ha cotton fields<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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An NDVI map is also used for precise spraying. Based on the NDVI map, Gongxu modified his regular flat-rate application method to variable rate application (VRA) by generating a Mepiquat chloride prescription map in which only the area with over-growth was assigned a spraying rate while the rest were left as non-spray. This prescription map was then downloaded to the DJI Agras T30 drone for execution.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Prescription map of Mepiquat chloride<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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T30 in mission<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Similarly, in the later growth stage, Gongxu generated a VRA prescription for foliar fertilization to boost the growth of the weaker regions and improve the homogeneity of the field.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Improved field homogeneity after VRA, as shown by an NDVI map<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Conclusion<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The success of new technology adoption interests cotton farmers in the region. Gongxu plans to expand his business to provide precision agriculture services to neighboring farms, scouting cotton fields using P4 Multispectral and offering variable rate application with Agras drones. In his world, \u201cInvestment in drone technology clearly improves yield potential and reduces farming costs. By providing services, more farmers can benefit from innovative precision agriculture solutions.\u201d<\/p>

In order to improve crop scouting efficiency, reduce chemical usage, and boost yield, cotton farmers in China\u2019s Xinjiang Province are adopting drone technology in both field scouting and chemical application.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Background Cotton, the most important fiber crop in the world, plays a significant role in the economics of many countries. In the crop year 2020\/2021,[1] China, India, and the United States ranked as the top three producers of cotton. China ranked second behind Australia in average yield \u2013 1,879 kg per hectare. High yield is not only due to a high mechanization rate but also precise management by cotton farmers. Cotton farmers make many decisions across the growing season \u2013 sowing, reseeding, fertilization, growth regulation, pesticide spraying, defoliant application, etc. \u00a0 In order to improve crop scouting efficiency, reduce chemical usage, and boost yield, cotton farmers in China\u2019s Xinjiang Province are adopting drone technology in both field scouting and chemical application. The Mission Gongxu Chen is a cotton farmer in Xinjiang, China, who manages 300ha of cotton fields. Formerly, in order to optimize yield, he applied Mepiquat chloride, a chemical used as a growth regulator in cotton, 6-7 times in one growing season to tune the height and canopy of the cotton plants. Before each application, Gongxu walked the field on foot and selected around three sample locations in every ten hectares to take individual height measurements. This year, he used DJI\u2019s P4 Multispectral drone to help with field scouting. In one 25-minute flight, the P4 Multispectral drone captured 45 hectares of imagery. The imagery was post-processed in DJI Terra software to generate RGB mapping and vegetation indices, including NDVI. In less than one day, Gongxu received an NDVI growth map of his 300ha cotton farm, showing the growth variation of the whole field. With this map, Gongxu was able to segment his fields into growth zones and strategically place sampling locations for further inspection. RGB imagery and NDVI map of 45ha cotton fields An NDVI map is also used for precise spraying. Based on the NDVI map, Gongxu modified his regular flat-rate application method to variable rate application (VRA) by generating a Mepiquat chloride prescription map in which only the area with over-growth was assigned a spraying rate while the rest were left as non-spray. This prescription map was then downloaded to the DJI Agras T30 drone for execution. Prescription map of Mepiquat chloride T30 in mission Similarly, in the later growth stage, Gongxu generated a VRA prescription for foliar fertilization to boost the growth of the weaker regions and improve the homogeneity of the field. Improved field homogeneity after VRA, as shown by an NDVI map Conclusion The success of new technology adoption interests cotton farmers in the region. Gongxu plans to expand his business to provide precision agriculture services to neighboring farms, scouting cotton fields using P4 Multispectral and offering variable rate application with Agras drones. In his world, \u201cInvestment in drone technology clearly improves yield potential and reduces farming costs. By providing services, more farmers can benefit from innovative precision agriculture solutions.\u201d In order to improve crop scouting efficiency, reduce chemical usage, and boost yield, cotton farmers in China\u2019s Xinjiang Province are adopting drone technology in both field scouting and chemical application.<\/p>\n","protected":false},"author":6,"featured_media":12048,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[51],"tags":[],"class_list":["post-11994","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-brand-news"],"yoast_head":"\nIntroducing Drone Technology for Precise Agricultural Cotton Production - DJI Agriculture<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/agras.bg\/en\/introducing-drone-technology-for-precise-agricultural-cotton-production\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Introducing Drone Technology for Precise Agricultural Cotton Production - DJI Agriculture\" \/>\n<meta property=\"og:description\" content=\"Background Cotton, the most important fiber crop in the world, plays a significant role in the economics of many countries. In the crop year 2020\/2021,[1] China, India, and the United States ranked as the top three producers of cotton. China ranked second behind Australia in average yield \u2013 1,879 kg per hectare. High yield is not only due to a high mechanization rate but also precise management by cotton farmers. Cotton farmers make many decisions across the growing season \u2013 sowing, reseeding, fertilization, growth regulation, pesticide spraying, defoliant application, etc. \u00a0 In order to improve crop scouting efficiency, reduce chemical usage, and boost yield, cotton farmers in China\u2019s Xinjiang Province are adopting drone technology in both field scouting and chemical application. The Mission Gongxu Chen is a cotton farmer in Xinjiang, China, who manages 300ha of cotton fields. Formerly, in order to optimize yield, he applied Mepiquat chloride, a chemical used as a growth regulator in cotton, 6-7 times in one growing season to tune the height and canopy of the cotton plants. Before each application, Gongxu walked the field on foot and selected around three sample locations in every ten hectares to take individual height measurements. This year, he used DJI\u2019s P4 Multispectral drone to help with field scouting. In one 25-minute flight, the P4 Multispectral drone captured 45 hectares of imagery. The imagery was post-processed in DJI Terra software to generate RGB mapping and vegetation indices, including NDVI. In less than one day, Gongxu received an NDVI growth map of his 300ha cotton farm, showing the growth variation of the whole field. With this map, Gongxu was able to segment his fields into growth zones and strategically place sampling locations for further inspection. RGB imagery and NDVI map of 45ha cotton fields An NDVI map is also used for precise spraying. Based on the NDVI map, Gongxu modified his regular flat-rate application method to variable rate application (VRA) by generating a Mepiquat chloride prescription map in which only the area with over-growth was assigned a spraying rate while the rest were left as non-spray. This prescription map was then downloaded to the DJI Agras T30 drone for execution. Prescription map of Mepiquat chloride T30 in mission Similarly, in the later growth stage, Gongxu generated a VRA prescription for foliar fertilization to boost the growth of the weaker regions and improve the homogeneity of the field. Improved field homogeneity after VRA, as shown by an NDVI map Conclusion The success of new technology adoption interests cotton farmers in the region. Gongxu plans to expand his business to provide precision agriculture services to neighboring farms, scouting cotton fields using P4 Multispectral and offering variable rate application with Agras drones. In his world, \u201cInvestment in drone technology clearly improves yield potential and reduces farming costs. By providing services, more farmers can benefit from innovative precision agriculture solutions.\u201d In order to improve crop scouting efficiency, reduce chemical usage, and boost yield, cotton farmers in China\u2019s Xinjiang Province are adopting drone technology in both field scouting and chemical application.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/agras.bg\/en\/introducing-drone-technology-for-precise-agricultural-cotton-production\/\" \/>\n<meta property=\"og:site_name\" content=\"DJI Agriculture\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/dji.agras.bulgaria\/\" \/>\n<meta property=\"article:published_time\" content=\"2024-03-13T10:00:12+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-03-14T09:23:17+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/agras.bg\/wp-content\/uploads\/2024\/03\/introducing-drone-technology-3.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1540\" \/>\n\t<meta property=\"og:image:height\" content=\"924\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"\u0417\u043b\u0430\u0442\u043a\u043e \u0413\u0440\u043e\u0437\u0434\u0430\u043d\u043e\u0432\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u0417\u043b\u0430\u0442\u043a\u043e \u0413\u0440\u043e\u0437\u0434\u0430\u043d\u043e\u0432\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/agras.bg\/en\/introducing-drone-technology-for-precise-agricultural-cotton-production\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/agras.bg\/en\/introducing-drone-technology-for-precise-agricultural-cotton-production\/\"},\"author\":{\"name\":\"\u0417\u043b\u0430\u0442\u043a\u043e \u0413\u0440\u043e\u0437\u0434\u0430\u043d\u043e\u0432\",\"@id\":\"https:\/\/agras.bg\/#\/schema\/person\/4d375362ca8ad6643cbbba5ba67dbc40\"},\"headline\":\"Introducing Drone Technology for Precise Agricultural Cotton Production\",\"datePublished\":\"2024-03-13T10:00:12+00:00\",\"dateModified\":\"2024-03-14T09:23:17+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/agras.bg\/en\/introducing-drone-technology-for-precise-agricultural-cotton-production\/\"},\"wordCount\":511,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/agras.bg\/#organization\"},\"image\":{\"@id\":\"https:\/\/agras.bg\/en\/introducing-drone-technology-for-precise-agricultural-cotton-production\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/agras.bg\/wp-content\/uploads\/2024\/03\/introducing-drone-technology-3.png\",\"articleSection\":[\"Brand News\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/agras.bg\/en\/introducing-drone-technology-for-precise-agricultural-cotton-production\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/agras.bg\/en\/introducing-drone-technology-for-precise-agricultural-cotton-production\/\",\"url\":\"https:\/\/agras.bg\/en\/introducing-drone-technology-for-precise-agricultural-cotton-production\/\",\"name\":\"Introducing Drone Technology for Precise Agricultural Cotton Production - 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In the crop year 2020\/2021,[1] China, India, and the United States ranked as the top three producers of cotton. China ranked second behind Australia in average yield \u2013 1,879 kg per hectare. High yield is not only due to a high mechanization rate but also precise management by cotton farmers. Cotton farmers make many decisions across the growing season \u2013 sowing, reseeding, fertilization, growth regulation, pesticide spraying, defoliant application, etc. \u00a0 In order to improve crop scouting efficiency, reduce chemical usage, and boost yield, cotton farmers in China\u2019s Xinjiang Province are adopting drone technology in both field scouting and chemical application. The Mission Gongxu Chen is a cotton farmer in Xinjiang, China, who manages 300ha of cotton fields. Formerly, in order to optimize yield, he applied Mepiquat chloride, a chemical used as a growth regulator in cotton, 6-7 times in one growing season to tune the height and canopy of the cotton plants. Before each application, Gongxu walked the field on foot and selected around three sample locations in every ten hectares to take individual height measurements. This year, he used DJI\u2019s P4 Multispectral drone to help with field scouting. In one 25-minute flight, the P4 Multispectral drone captured 45 hectares of imagery. The imagery was post-processed in DJI Terra software to generate RGB mapping and vegetation indices, including NDVI. In less than one day, Gongxu received an NDVI growth map of his 300ha cotton farm, showing the growth variation of the whole field. With this map, Gongxu was able to segment his fields into growth zones and strategically place sampling locations for further inspection. RGB imagery and NDVI map of 45ha cotton fields An NDVI map is also used for precise spraying. Based on the NDVI map, Gongxu modified his regular flat-rate application method to variable rate application (VRA) by generating a Mepiquat chloride prescription map in which only the area with over-growth was assigned a spraying rate while the rest were left as non-spray. This prescription map was then downloaded to the DJI Agras T30 drone for execution. Prescription map of Mepiquat chloride T30 in mission Similarly, in the later growth stage, Gongxu generated a VRA prescription for foliar fertilization to boost the growth of the weaker regions and improve the homogeneity of the field. Improved field homogeneity after VRA, as shown by an NDVI map Conclusion The success of new technology adoption interests cotton farmers in the region. Gongxu plans to expand his business to provide precision agriculture services to neighboring farms, scouting cotton fields using P4 Multispectral and offering variable rate application with Agras drones. In his world, \u201cInvestment in drone technology clearly improves yield potential and reduces farming costs. By providing services, more farmers can benefit from innovative precision agriculture solutions.\u201d In order to improve crop scouting efficiency, reduce chemical usage, and boost yield, cotton farmers in China\u2019s Xinjiang Province are adopting drone technology in both field scouting and chemical application.","og_url":"https:\/\/agras.bg\/en\/introducing-drone-technology-for-precise-agricultural-cotton-production\/","og_site_name":"DJI Agriculture","article_publisher":"https:\/\/www.facebook.com\/dji.agras.bulgaria\/","article_published_time":"2024-03-13T10:00:12+00:00","article_modified_time":"2024-03-14T09:23:17+00:00","og_image":[{"width":1540,"height":924,"url":"https:\/\/agras.bg\/wp-content\/uploads\/2024\/03\/introducing-drone-technology-3.png","type":"image\/png"}],"author":"\u0417\u043b\u0430\u0442\u043a\u043e \u0413\u0440\u043e\u0437\u0434\u0430\u043d\u043e\u0432","twitter_card":"summary_large_image","twitter_misc":{"Written by":"\u0417\u043b\u0430\u0442\u043a\u043e \u0413\u0440\u043e\u0437\u0434\u0430\u043d\u043e\u0432","Est. reading time":"3 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/agras.bg\/en\/introducing-drone-technology-for-precise-agricultural-cotton-production\/#article","isPartOf":{"@id":"https:\/\/agras.bg\/en\/introducing-drone-technology-for-precise-agricultural-cotton-production\/"},"author":{"name":"\u0417\u043b\u0430\u0442\u043a\u043e \u0413\u0440\u043e\u0437\u0434\u0430\u043d\u043e\u0432","@id":"https:\/\/agras.bg\/#\/schema\/person\/4d375362ca8ad6643cbbba5ba67dbc40"},"headline":"Introducing Drone Technology for Precise Agricultural Cotton Production","datePublished":"2024-03-13T10:00:12+00:00","dateModified":"2024-03-14T09:23:17+00:00","mainEntityOfPage":{"@id":"https:\/\/agras.bg\/en\/introducing-drone-technology-for-precise-agricultural-cotton-production\/"},"wordCount":511,"commentCount":0,"publisher":{"@id":"https:\/\/agras.bg\/#organization"},"image":{"@id":"https:\/\/agras.bg\/en\/introducing-drone-technology-for-precise-agricultural-cotton-production\/#primaryimage"},"thumbnailUrl":"https:\/\/agras.bg\/wp-content\/uploads\/2024\/03\/introducing-drone-technology-3.png","articleSection":["Brand News"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/agras.bg\/en\/introducing-drone-technology-for-precise-agricultural-cotton-production\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/agras.bg\/en\/introducing-drone-technology-for-precise-agricultural-cotton-production\/","url":"https:\/\/agras.bg\/en\/introducing-drone-technology-for-precise-agricultural-cotton-production\/","name":"Introducing Drone Technology for Precise Agricultural Cotton Production - 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