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Potato Leaf Disease Classification Using Federated Learning
Accurate classification of diseases in potato crops is vital for optimizing yield and ensuring crop health. We propose a generalized framework using...
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Potato-Net: Classifying Potato Leaf Diseases Using Transfer Learning Approach
Research on pertinent topics is more important than ever for the long-term development of agriculture, given the advancements in contemporary farming...
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Transfer Learning for Potato Leaf Disease Detection
Deep learning techniques have demonstrated significant potential in the agriculture sector to increase productivity, sustainability, and efficacy for...
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Identification and Multi-classification of Several Potato Plant Leave Diseases Using Deep Learning
Today Potato becomes most well-known crops in world. Now Plant crop disease detection has transferred as an operative research domain. As per...
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Price Forecasting of Potato Using ARIMA Model on Cloud Platform
The major focus of our paper is to benefit farmers by providing them with knowledge of the future price of potatoes in the different bazaars of Uttar...
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Modified transfer learning frameworks to identify potato leaf diseases
Potato diseases such as early and late blight are the most lethal diseases that can cause significant damage to potato production. Detecting these...
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Potato Disease Detection Using Convolutional Neural Network: A Web Based Solution
Despite being reliant on agriculture for the provision of food, many nations, including Bangladesh, struggle to feed their populations enough. The...
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ML-Based Prediction of Carbon Emissions for Potato Farms in Iran
Agriculture is one of the main contributors to carbon emissions. Understanding different processes involved in farming and estimating the carbon...
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Identification of Late Blight in Potato Leaves Using Image Processing and Machine Learning
Potato is a widely consumed food worldwide, and its productivity has increased due to new varieties and the use of technologies related to...
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An intelligent convolution based graph cut segmentation for potato leaf disease severity prediction
Nowadays, all survival applications are digitalized by smart facilities. Hence, potato leaves disease prediction is considered for this study....
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Identification of Potato Leaf Diseases Using Hybrid Convolution Neural Network with Support Vector Machine
Agriculture has long been a vital source of sustenance. More over 60% of the world’s population relies mostly on agricultural sources for food,...
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Rapid Development and Performance Evaluation of a Potato Planting Robot
Agriculture is characterised by noisy semi-structured conditions, and production uncertainty which present obstacles to automation. This paper...
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Evaluating the effect of super-resolution for automatic plant disease detection: application to potato late blight detection
Precise and automatic plant disease detection represent a fundamental research topic. Indeed, traditional or manual disease detection can be...
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Potato diseases detection and classification using deep learning methods
Using machine vision and image processing methods has an important role in the identification of defects of agricultural products, especially...
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Deep learning models for enhancing potato leaf disease prediction: Implementation of transfer learning based stacking ensemble model
MotivationCrop diseases pose a critical threat to global food security, causing substantial agricultural yield losses. Manual disease identification...
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A study and comparison of deep learning based potato leaf disease detection and classification techniques using explainable AI
The goal of artificial intelligence (AI), a field with a solid scientific foundation, is to enable machines to simulate human intelligence and...
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A Convolutional Neural Networks-Based Approach for Potato Disease Classification
Identifying the various diseases that affect potato plants is a fundamental thing for farmers to avoid losses every year. Among them, there are two...
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Weakly-supervised learning method for the recognition of potato leaf diseases
As a crucial food crop, potatoes are highly consumed worldwide, while they are also susceptible to being infected by diverse diseases. Early...
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Deep Learning-Based Approach to Identify the Potato Leaf Disease and Help in Mitigation Using IOT
The major reason for minimizing crop productivity is various diseases in plants. To eliminate the disease-induced losses in plants during growth as...
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Mobile convolution neural network for the recognition of potato leaf disease images
Plant disease management plays a crucial role in food security as diverse diseases can cause a substantial reduction of crop yield. As an important...
