After a busy day of work, returning home to see the multi-meat plants he has carefully preserved, these little lives seem to be fleshly but without losing the beauty, so simply for us to exhaust the day's fatigue and annoyance. However, these little guys also need care, sometimes they lose weight, their colors look unhealthy, and they have little bugs. We can't help worrying about these little things that we can quietly accompany ourselves. At this time, the handheld horticulturist, Plantbot, will come in handy. It will provide intimate services for everyone.
There is a lot of online information that can help us diagnose whether the plants we plant are healthy and give advice on how to make them grow better. However, according to Martiin Capeletto, the distribution of these information on the Internet is too fragmented and sometimes difficult to find. When we need it, we cannot immediately find the relevant information source.
Therefore, with this opportunity, Plantbot startups emerged. You only need to take a photo or upload a picture of a plant. Using some online machine learning tools, Plantbot can tell you if your plant is healthy or if you are sick and what causes it. The entire diagnosis process takes only a few seconds. If the user has other problems, he can make inquiries on the app's communication interface. At TechCrunch's Disrupt Hackathon conference in 2017, Plantbot startups will show for the first time an automated Plantbot developed by the team in particular.
"We have always been committed to providing services for our customers. However, we do want to promote these products among enterprises. Each time Hackthon offers us such a favorable opportunity," said Capeletto, "Internet users Plants always have endless problems, and I personally like gardening, like this kind of forum, but the question asked by users is always the same."
Plantbot can diagnose some common problems, such as the fact that the leaves are not in the correct color, which may be the lack of nitrogen in the soil, and the brown tip may be caused by excess nutrients in the soil, Capelleto said. Plantbot can quickly answer most users' questions to be able to solve these common plant diseases.
The R&D team matches some common problems with plant images, and then compares the user-uploaded plant images. As a result, it may be difficult to obtain enough data online and cover a variety of issues raised by users. However, it should be able to fully mine all online information to match user-uploaded images and build a large database to quickly provide a reasonable solution for sick plants. Capeletto said that the usual solution to plant diseases is simple.
The Plantbot R&D team is an international team with Capeletto, Hernan Berroja Albiz, Agustin Capeletto and Iago RodrÃguez López, all of whom are regular guests of Hackathons. Last time, the team developed an app that can predict whether you like a venue or restaurant (for example, whether a restaurant has a good taco, etc.).
The idea of ​​developing an automated Plantbot is not new, and the idea of ​​using a camera to diagnose a plant's illness has long existed. In 2013, a project called Infragram made the same attempt with a camera. However, the camera of smartphones has been continuously improved, and image recognition and contrasting technologies have also been continuously developed. If the Plantbot R&D team can continuously collect large amounts of data - or use algorithms to find better ways to train data - this app will bring more convenient services to gardeners around the world.
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