Farmers Disease Diagnostic/Reporting Portal - Mobile Portal Al Based

 Background- Agricultural productivity and food security are heavily dependent on the health of crops and livestock. Farmers, especially in remote or resource-limited areas, often face challenges in diagnosing and reporting diseases that affect their livestock and crops. Early diagnosis and timely reporting are crucial for effective disease manage...

Farmers Disease Diagnostic Reporting Portal Mobile Portal Al Based Smartphone-based diagnosis of crop diseases AI Based Farm Fish Disease Detection System Evaluating Plant Disease Detection Mobile Applications

AI-Driven Crop Disease Prediction and Management System

 Background: Crop diseases can devastate yields, leading to significant financial losses for farmers. Early detection and timely intervention are crucial for effective management. Description: Develop an AI-driven system that analyzes crop images and environmental data to predict potential disease outbreaks. This system will provide farmers with a...

AI-Driven Crop Disease Prediction Crop Disease Detection with AI Revolutionizing agriculture with artificial intelligence AI-Powered Predictive Analysis for Pest and Disease plant disease detection methods

Credit Card Fraud Detection Using Machine Learning with Python

 Online transactions have become a significant and crucial aspect of our lives in recent years. It's critical for credit card firms to be able to spot fraudulent credit card transactions so that customers aren't charged for things they didn't buy. The number of fraudulent transactions is rapidly increasing as the frequency of transactions increa...

Credit Card Fraud Detection Credit Card Fraud Python Credit Card Fraud CNN Atm Fraud Detection Disease Detection

Brain Tumor Detection and Classification Using Deep Learning and Sine-Cosine Fitness Grey Wolf Optimization

 Diagnosing a brain tumor takes a long time and relies heavily on the radiologist’s abilities and experience. The amount of data that must be handled has increased dramatically as the number of patients has increased, making old procedures both costly and ineffective. Many researchers investigated a variety of algorithms for detecting and classifyin...

Brain Tumor Detection Tumor Detection Grey Wolf Optimization Brain Disease Detection Disease Detection

Brain Tumor Detection and Classification Using Artificial Intelligence

 Health is very important for human life. In particular, the health of the brain, which is the executive of the vital resource, is very important. Diagnosis for human health is provided by magnetic resonance imaging (MRI) devices, which help health decision makers in critical organs such as brain health. Images from these devices are a source of...

Brain Tumor Detection Classification Using Artificial Intelligence Tumor Detection Using CNN Brain Disease Analysis Disease Detection

Disease Detection in coffee plants using convolutional Neural Network

  Rust is a severe disease affecting many productive coffee regions. It is caused by pathogenic fungi that attack the underside of coffee leaves and it is characterized by the presence of yellow-orange and powdery points. If not treated, rust can cause a drop in coffee production of up to 45%. In this sense, this paper presents a contribution to th...

Disease Detection coffee plants Convolutional Neural Network

Covid-19 outbreak Prediction with the Base of Deep Learning Vgg16

  In recent months, coronavirus disease 2019 (COVID-19) has infected millions of people worldwide. In addition to the clinical tests like reverse transcription- polymerase chain reaction (RT-PCR), medical imaging techniques such as computed tomography (CT) can be used as a rapid technique to detect and evaluate patients infected by COVID...

MACHINE LEARNING Deep Learning

PREDICTION OF DIABETES EMPOWERED WITH FUSED MACHINE LEARNING

 In the medical field, it is essential to predict diseases early to prevent them. Diabetes is one of the most dangerous diseases all over the world. In modern lifestyles, sugar and fat are typically present in our dietary habits, which have increased the risk of diabetes To predict the disease, it is extremely important to understand its symptoms. C...

MACHINE LEARNING DIABETES EMPOWERED

VEGETABLE DISEASES DETECTION USING CNN SEQUENTIAL NEURAL NETWORKS

 India is the cultivating country and our country is the biggest maker in agricultural products. So, we have to classify and exchange our agricultural products. Manual arranging is tedious and it requires works. The automatic grading system requires less time for grading of the agricultural products. Image processing technique is helpful in examinat...

Vegetable disease detection using k-means clustering and svm

  India is the cultivating country and our country is the biggest maker in agricultural products. So, we have to classify and exchange our agricultural products. Manual arranging is tedious and it requires works. The automatic grading system requires less time for grading of the agricultural products. Image processing technique is helpful in exam...

Miniaturized and IoT enabled Continuous-flow based Microfluidic PCR Device for DNA Amplification

 Herein, a continuous-flow driven microfluidic device has been designed and fabricated using the CO2 laser ablation method for polymerase chain reaction (PCR). The device consists of a polymethyl methacrylate (PMMA) microfluidic channel with 30 serpentine thermal cycles, an arduino board, two custom-made cartridge heaters, and thermocouple sensors. ...

Blood Viscosity based Heart Disease Risk Prediction Model in EdgeFog

 In this paper, heart disease prediction modeled using partially observable Markova decision process (POMDP) is proposed. In emergency, the patient is alerted through the doctor by fog computing. Ambulance sent to the location of patient at critical situations. The doctor gets the data through fog computing iFogSim. Fog computing in healthcare is a ...

Detection of Potato Disease Using Image Segmentation and Machine Learning

 Potato is one of the prominent food crops all over the world. In Bangladesh, potato cultivation has been getting remarkable popularity over the last decades. Many diseases affect the proper growth of potato plants. Noticeable diseases are seen in the leaf region of this plant. Two common and popular leaf diseases of the potato plants are Early Blig...

Vegetable disease detection using k-means clustering and svm

 India is the cultivating country and our country is the biggest maker in agricultural products. So, we have to classify and exchange our agricultural products. Manual arranging is tedious and it requires works. The automatic grading system requires less time for grading of the agricultural products. Image processing technique is helpful in examinat...

Detection of Potato Disease Using Image Segmentation and Machine Learning

 Potato is one of the prominent food crops all over the world. In Bangladesh, potato cultivation has been getting remarkable popularity over the last decades. Many diseases affect the proper growth of potato plants. Noticeable diseases are seen in the leaf region of this plant. Two common and popular leaf diseases of the potato plants are Early Blig...

Disease Detection in coffee plants using convolutional Neural Network

 Rust is a severe disease affecting many productive coffee regions. It is caused by pathogenic fungi that attack the underside of coffee leaves and it is characterized by the presence of yellow-orange and powdery points. If not treated, rust can cause a drop in coffee production of up to 45%. In this sense, this paper presents a contribution to the ...

Detection of Potato Disease Using Image Segmentation and Machine Learning

 Potato is one of the prominent food crops all over the world. In Bangladesh, potato cultivation has been getting remarkable popularity over the last decades. Many diseases affect the proper growth of potato plants. Noticeable diseases are seen in the leaf region of this plant. Two common and popular leaf diseases of the potato plants are Early Blig...