{"id":834,"date":"2017-10-26T17:03:35","date_gmt":"2017-10-26T09:03:35","guid":{"rendered":"https:\/\/www.agrinoon.com\/agriculture\/?p=834"},"modified":"2017-10-26T17:03:35","modified_gmt":"2017-10-26T09:03:35","slug":"kansas-state-university-using-drones-develop-better-yielding-wheat-varieties","status":"publish","type":"post","link":"https:\/\/www.agrinoon.com\/agriculture\/2017\/10\/26\/kansas-state-university-using-drones-develop-better-yielding-wheat-varieties\/","title":{"rendered":"Kansas State University using drones to develop better yielding wheat varieties"},"content":{"rendered":"
Keywords:\u00a0Kansas State University , Drone , Wheat , Breeding<\/div>\n
Jesse Poland is an associate professor of plant pathology at Kansas State University. For the past three years, he and a team of researchers have worked in five countries to stay on top of wheat improvement and the most promising technology to help \u2026 drones.<\/p>\n<\/div>\n
\u201cField seasons in India, Pakistan, and Bangladesh are offset from the field seasons here in Kansas,\u201d said Poland. He is also director of the university\u2019s Feed the Future Innovation Lab for Applied Wheat Genomics. \u201cWe can actually be doing work in India during the winter here, learning things and improving the systems, then bring that back and add another season of innovation and improvement here in Kansas. It greatly increases the speed of innovation and testing in our field research.<\/p>\n<\/div>\n
And the team is using unmanned aerial vehicles (UAVs), or drones, to scout agricultural fields for important data. UAVs can do the work in a fraction of the time that it would take humans.<\/p>\n<\/div>\n
\u201cWhat we are trying to do is take these UAVs to the breeding fields to efficiently and quickly measure plant traits,\u201d said Daljit Singh. He is a Kansas State University graduate student from India who works in Poland\u2019s lab.<\/p>\n<\/div>\n
Armed with sophisticated, multi-spectral cameras measuring only a few inches, the drones work up and down rows of lush wheat fields, measuring traits such as the plant\u2019s height and vegetation index, or \u201cgreen-ness\u201d of the plant, which is determined by the amount of light it reflects. The process is known as high-throughput phenotyping because it collects large amounts of information about the plant\u2019s traits, or phenotype.<\/p>\n<\/div>\n
\u201cThe cameras capture the near-infrared light \u2013 red, white, green, and blue,\u201d Singh said. \u201cFrom that, we create a vegetation index because the light reflected from the plant leaves can be associated with the stress levels. The amount of near-infrared reflectance is an indication of whether the plant is going through some type of stress. It can be sick, or have other diseases. It gives us a rapid measurement of what is going on.\u201d<\/p>\n<\/div>\n
For more complex phenotypes, Poland added:<\/p>\n<\/div>\n
\u201cIt\u2019s similar to facial recognition algorithms; it is using artificial intelligence directly on images. We are developing partnerships with many groups to apply these same approaches to pictures of wheat plants. So, using big datasets of hundreds of thousands of images, you train these algorithms to look at different pictures of wheat plants and identify traits of interest.\u201d<\/p>\n<\/div>\n
The use of drones and the quickness with which they collect information helps researchers develop massive data sets. Poland says scientists now have the ability to compare genetic differences between thousands of candidate wheat varieties. That we can make better yielding, more heat tolerant, and more disease resistant varieties.<\/p>\n<\/div>\n
\u201cIf you can do more rapid and more accurate selections, then you\u2019re really more efficient in finding that needle in the haystack, the one out of 1,000 that is better all around that can be a new high-performing wheat variety,\u201d Poland said.<\/p>\n<\/div>\n
Source:\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/b>UAS Vision<\/div>\n","protected":false},"excerpt":{"rendered":"

Keywords:\u00a0Kansas State University , Drone , Wheat , Breeding Jesse Poland is an associate professor of plant pathology at Kansas State University. For the past three years, he and a team of researchers have worked in five countries to stay on top of wheat improvement and the most promising technology to help \u2026 drones. \u201cField… Continue reading Kansas State University using drones to develop better yielding wheat varieties<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[17],"tags":[],"class_list":["post-834","post","type-post","status-publish","format-standard","hentry","category-industry-news","entry"],"yoast_head":"\nKansas State University using drones to develop better yielding wheat varieties - agrinoon<\/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:\/\/www.agrinoon.com\/agriculture\/2017\/10\/26\/kansas-state-university-using-drones-develop-better-yielding-wheat-varieties\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Kansas State University using drones to develop better yielding wheat varieties - agrinoon\" \/>\n<meta property=\"og:description\" content=\"Keywords:\u00a0Kansas State University , Drone , Wheat , Breeding Jesse Poland is an associate professor of plant pathology at Kansas State University. 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