WebJun 8, 2024 · The label dataset was used to create the model. The Swift language is used in app development. The model accuracy was around 90%. Currently, boll rot and fungal leafspot disease are detected in this app. However, the app can be further extended for other cotton diseases too. 1. Introduction In India, the agriculture is done traditionally. WebAug 8, 2024 · An author [6] developed a system to determine disease presence in Wheat crop photos with Fuzzy-Classifier. The dataset contains both disease and healthy leaf images used to evaluate the algorithm. The accuracy of unhealthy and healthy leaves classification was 56 percent, and 88 percent respectively.
GitHub - mehra-deepak/Plant-Disease-Detection: Plant Disease …
WebThere are 22 crops datasets available on data.world. Find open data about crops contributed by thousands of users and organizations across the world. Crop Production … WebMar 24, 2024 · This dataset consists of two CSV files one for training and one for testing. There is a total of 133 columns in the dataset out of which 132 columns represent the symptoms and the last column is the … norse mythology beginning of the world
Rice Blast Disease Recognition Using a Deep Convolutional …
WebDec 1, 2024 · The experimental analysis of the proposed model based on the constructed data set shows that the average recognition accuracy and recognition time of fragrant pear diseases and insect pests are 96.26% and 321 ms, respectively, which are better than other comparison models. WebDec 2, 2024 · Prediction of crop yields based on climate variables using machine learning algorithms machine-learning random-forest regression artificial-intelligence datascience climate-change crop-yield-prediction Updated last month Jupyter Notebook icherniaev / crop_yield_prediction Star 2 Code Issues Pull requests WebAug 18, 2024 · Crop Disease Detection Using Deep Learning Abstract: In recent times, drastic climate changes and lack of immunity in crops has caused substantial increase … norse mythology courses online