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CropCareAI is an AI-powered web application built using Flask to assist plant enthusiasts, farmers, and researchers in identifying and diagnosing plant diseases using pretrained Machine Learning models.
The identification of plant disease is the premise of the prevention of plant disease efficiently and precisely in a complex environment. Machine Learning algorithm this work attempt to predict in an earlier stage and outcomes are better.
10th Edition•ISBN: 9780470458365(4 more)Erwin Kreyszig. 4,134 solutions. Terms in this set (27) Plant diseases can be detected by. stunted growth. Plant diseases can be detected by. spots on leaves. Plant diseases can be detected by. areas of decay.
Identifies the leaf diseases with the help of an android application just with a single snapshot of the leaf or any saved picture of the diseased leaf. - VNDhanush/plant-disease-identification
Study with Quizlet and memorize flashcards containing terms like What helps identify if there are potential plant diseases, What visible symptoms must be observed for plant disease?, How does distribution analysis help the identification of a plant disease? and more.
Study with Quizlet and memorize flashcards containing terms like Sclerotinia Rot in soybeans, Sclerotinia Crown & Stem Rot on alfalfa, Loose smut on wheat and more.
Developed a Plant Species Identification system using Flask and the ResNet9 model. This tool accurately identifies plant species from images, making it indispensable for botany enthusiasts. Key skills involved include Convolutional Neural Networks (CNN), HTML, CSS, and Python.
