Samia-Nawaz/Segmentation-and-classification-of-rice-leaf-disease: v1.0.0

Domaine:

agriculture

Type de record:

software

Créateur:

Sam

Éditeur:

Hôte:

This project implements an advanced approach for rice leaf disease segmentation and classification using a combination of clustering techniques and transfer learning. It leverages pre-trained deep learning models fine-tuned for rice leaf diseases, offering accurate segmentation and classification to assist in early disease detection for agricultural applications. This approach enhances both the precision and scalability of rice crop health monitoring.

Samia-Nawaz/ViT-with-Token-Level-Supervision-for-Wheat-Disease-Classification

# 🌾 Vision Transformer for Wheat Leaf Disease Classification This repository implements a Vision Tr

Rice Leaf Disease Classification Using Deep Neural Networks

Rice is a staple food for over half the world, and rice is a key food security ingredient in Nigeria

mohith-bacha/Rice-leaf-disease-detection

Detecting rice leaf diseases using Python involves collecting a labeled dataset of leaf images, prep

Almond Leaf Disease Classification Dataset

Overview

This dataset was collected at Itto SARL almond farm located i

VladyslavKozhukhov/Cassava-Leaf-Disease-Classification

As the second-largest provider of carbohydrates in Africa, cassava is a key food security crop grown

IShallNotKnow/Cassava-Leaf-Disease-Classification

A CNN on the MAKERE University and FGVC Cassava Leaf Datasets with flexibly designed GradCAM heatmap

Samia-Nawaz/Segmentation-and-classification-of-rice-leaf-disease: v1.0.0

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