Plant disease detection and Solution using Image Classification

Source code for the paper "Reliable Deep Learning Plant Leaf Disease Classification Based on Light-Chroma Separated Branches".

Source code for the paper "Color-aware two-branch DCNN for efficient plant disease classification".

Dataset Analysis & CNN Models Optimization for Plant Disease Classification.

Auto Chloro is a plant disease classifier & remedies provider that uses deep learning. It can predict diseases and provide remedies. The GUI is based on Bangla Language keeping in mind that, our primary target is to create an application to predict plant diseases and provide remedies for the Bangladeshi people.

Computer Vision Live detection of plant diseases

Using Google's teachable machine to generate an image classification model and serving the model via streamlit. The classification tasks will be brain MRI tumor classification and Plant disease classification

CS3282 - Industrial Computer Engineering Project. Helps farmers to apply the right amount of fertilizers to the fields.

A computer vision-based project that uses YOLOv8 to detect and classify plant leaves in real time, helping identify healthy and diseased plants efficiently to support smart agriculture solutions.

Dataset Analysis and CNN Models Optimization for Plant Disease Classification.

Analysis of various Deep Learning architectures for the detection of Corn🌽 Leaf Diseases

detecting disease in plants' leaves using transfer learning: Inception v3 model.

A deep learning project that classifies 38 plant disease categories from leaf images using a custom-built Convolutional Neural Network (CNN).

REST API for the classification of plant diseases.

NLP Named Entity Recognition dalam bidang Biomedis, mendeteksi teks dan membuat klasifikasi apakah teks tersebut mempunyai entitas plant atau disease, memberi label pada teks, menguji hubungan entitas plant dan disease, menilai kecocokan antara kedua entitas, membandingkan hasil uji dengan menggunakan models BERT-BILSTM-CRF

This is a deep learning project in agriculture domain that detect plants diseases

🌾 AI-powered smart agriculture decision support system using machine learning 🌱🤖 and real-time APIs, built with PHP for crop disease detection, AI-based treatment planning, ROI statistics, and real-time market data, with admin management and dataset model training. Stored in a database and csv, Mysql.

🌿 Detect and classify plant leaves in real-time using YOLOv8, enhancing crop health and productivity through early disease identification.

Plant Disease App prototipe for my yutub content

This project aims to develop a method for detecting plant diseases using CNNs by analyzing leaf images.The CNNs are proficient in handling large datasets and can dynamically learn new features from them in a supervised manner. By learning the important features from the input images, CNNs can make accurate predictions about the presence of diseases