Plants Disease Identification 对比 Plants Diseases Identifier 的使用情况和统计数据

The symptoms of plant diseases are evident in different parts of a plant; however leaves are found to be the most commonly observed part for detecting an infection. This app automate the process of plant disease detection and classification with leaf images. Machine learning Apple technology classify effectively the plant diseases. Agricultural productivity is something on which economy highly depends. This is the one of the reasons that disease detection in plants plays an important role in agriculture field, as having disease in plants are quite natural. If proper care is not taken in this area then it causes serious effects on plants and due to which respective product quality, quantity or productivity is affected. A large database is used to provide the following accuracy for each plant: Apple Blueberry Cherry Corn Grape Orange Peach Pepper Potato Raspberry Soybean Squash Strawberry Tomato I hope this app helps you to avoid diseases in your plants. Download now!
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It is very important to know the disease of your crops since the very beginning. Discover your plant disease using a photo of your plant leaf. Leaves are the most commonly observed part for detecting an infection. Take note that symptoms in some plants can appear slowly, so usually it is difficult for farmers to notice and correctly diagnose the plant disease. + This app could diagnose the disease of the following diseases: Apple scab, Cedar apple rust, Black rot, Powdery mildew, Cercospora leaf spot, Gray leaf spot, Common rust, Northern leaf blight, Eriophyes vitis, Grape esca (Black Measles), Leaf blight (Isariopsis leaf spot), Orange haunglongbing (Citrus greening), Leaf scorch, Early blight, Leaf Mold, Septoria leaf spot, Two-spotted spider mite, Tomato target spot, Mosaic virus, Tomato yellow leaf curl virus, Bacterial spot and Late blight. + So you can take a picture of the following plant leaves to detect them: Tomatoes, Pepper, Apple, Pear, Quince, Grape vines, Cabbage, Broccoli, Potato, Lemon, Orange, Sweet potato, Cauliflower, Raspberry, Squash, Corn, Peach, Strawberry, Roses, Apricot, Nectarine and Plum. The rapid, accurate diagnosis of disease severity will help to reduce yield losses. Another Advantages: + You can have more reliable source of food + You can grow more crops. + You can protect them. This app allows the opportunity to use computer vision techniques to monitor the disease type and severity and increase yields. A huge image database (thousand of images) has been used to get the maximum accuracy using artificial neural networks . This app has also an option to report an image that couldn’t be recognised. If that is the case, it is automated that you can report it immediately by email to the author. So it guarantees that the database image will be improved constantly. The intended purpose of this app is help the farmers to build a better and bigger crops, which results in a more sustainable world. Diseases are a major thread to losses of modern agricultural production. Keep your crops healthy. For any doubt, please contact me at bellostudios@gmail.com.
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Plants Disease Identification与Plants Diseases Identifier排名比较

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Plants Disease Identification VS.
Plants Diseases Identifier

十二月 15, 2024