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

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.

Dataset Analysis & CNN Models Optimization for Plant Disease Classification.

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

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

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.

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

Dataset Analysis and CNN Models Optimization for Plant Disease Classification.

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

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

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

Embrace limited and imperfect training datasets in plant disease recognition using deep learning.

This project uses a Convolutional Neural Network (CNN) to classify potato plant images as Healthy, Early Blight, or Late Blight. Built with TensorFlow and Keras, it helps in quickly identifying plant diseases for better crop management.

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

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

Plant disease classification using deep neural network