{"id":9933,"date":"2017-11-14T17:04:02","date_gmt":"2017-11-14T17:04:02","guid":{"rendered":"https:\/\/rsoftsolution.com\/blog\/iunu-aims-to-build-cameras-on-rails-for-growers-to-keep-track-of-their-crop-health.html"},"modified":"2017-11-14T17:04:02","modified_gmt":"2017-11-14T17:04:02","slug":"iunu-aims-to-build-cameras-on-rails-for-growers-to-keep-track-of-their-crop-health","status":"publish","type":"post","link":"https:\/\/www.rbsitsoftwaresolution.in\/blog\/iunu-aims-to-build-cameras-on-rails-for-growers-to-keep-track-of-their-crop-health.html","title":{"rendered":"iUNU aims to build cameras on rails for growers to keep track of their crop health"},"content":{"rendered":"


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You\u2019ve probably spent a lot of time keeping track of your plants and all the minor details, like the coloration of the leaves, in order to make sure they\u2019re healthy \u2014 but for professional growers in greenhouses, this means keeping track of thousands of plants all at once.<\/p>\n

That can get out of hand really quickly as it could involve just walking through a greenhouse with an iPad and checking off the health of each plant, and it means that a lot of things can fall through the cracks. And that\u2019s not really a judgment on the professional abilities of the grower, but rather just the scale of the system that those growers have to deal with \u2014 and the lack of technology to support it, iUNU CEO Adam Greenberg said. So that\u2019s why his startup, iUNU, is introducing a new system to try and help that.<\/p>\n

iUNU\u2019s Luna camera network<\/a>\u00a0works with a rail system with automated cameras that keep track of plants and how they are changing over time. So rather than having to do a daily crop walk, which could take hours, the growers can quickly have a set of cameras run across the plants and get a visual snapshot of those plants\u2019 health. That information then feeds into a computer vision system on the company\u2019s back-end, which applies machine learning to detect potential problems (like leaf discoloration) and helps those growers zero in on the areas that they actually need to address.<\/p>\n

\u201cWhile we\u2019re doing something that seems really broad or really simple, it\u2019s a derivative of highly granular HD sensors and repurposing facial recognition for plant recognition in a way that there\u2019s a lot of highly millimeter level accuracy detail required to do it,\u201d Greenberg said. \u201cIf you don\u2019t have highly granular data sets that are higher quality than pretty much everyone out there, you\u2019re not able to add more value. What\u2019s really important from our internal perspective is that you have to deliver it in a way that\u2019s a simple, easy-to-use decision support tool.\u201d<\/p>\n

It\u2019s definitely a complicated computer vision problem, as what a plant looks like may change on a daily basis as they grow or bloom. And growers have to keep track of minute details, like minor discoloration. While it may just seem like a \u201cShazam for plants,\u201d it\u2019s involved creating a robust data set that\u2019s able to detect those changes without showing up false negatives that could lead to a decrease in potential yield. At the scale of an industrial grower, any loss in yield means a meaningful loss of revenue.<\/p>\n

The system is also designed to be modular, with growers over time being able to attach new kinds of tools along the rail beyond just cameras to the system. Greenberg likened it to the train sets you might have had as a kid, where you could end up with one unit for 3D modeling, one for cameras, and so on and so forth. The goal for iUNU is to be a network that any number of services where hardware or software products, like sensors or tracking systems, can just plug in and use to tap the data that it\u2019s collecting. iUNU\u2019s job is just to tell you if there are problems with your crops, and where they are, without requiring you to go out and do a daily crop walk.<\/p>\n

\u201cWe\u2019re there to be the grower and the owner\u2019s best friend, we\u2019re not gonna tell them how to do their jobs, we\u2019re gonna help them do their jobs better,\u201d Greenberg said. \u201cWhen you have problems, they know how to fix them. We can tell you where your problems are. A lot of the other companies are trying to replace the grower. I don\u2019t think that\u2019s a good approach for the industry, I don\u2019t think that\u2019s the best way to work with the industry, to tell them you\u2019re gonna replace them. It\u2019s\u2026 that\u2019s one fundamental difference. We play with the control systems, the sensor companies, the ERP companies, but we\u2019re not competing with any of them.\u201d<\/p>\n

There are certainly other attempts to apply machine learning and computer vision to keeping track of plant health, like Prospera, which has also raised $7 million in venture financing<\/a>. Greenberg said that by trying to take the platform approach, iUNU is going to be able to offer something more robust to growers in a way that individual products might not be able.<\/p>\n

<\/p>\n

Article source: http:\/\/feedproxy.google.com\/~r\/techcrunchIt\/~3\/4OakzAOBKNY\/<\/p>","protected":false},"excerpt":{"rendered":"

You\u2019ve probably spent a lot of time keeping track of your plants and all the minor details, like the coloration of the leaves, in order to make sure they\u2019re healthy <\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[19],"tags":[25],"class_list":["post-9933","post","type-post","status-publish","format-standard","hentry","category-enterprise-software","tag-enterprise"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t