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AGRINOVA APPLICATION USING AIML
Agriculture Is Very Important In The Economic Development And Food Security Of Most Nations, However, It Has Been Experiencing Major Threats Like Fluctuating Weather, Crop Infections And Lack Of Accessibility To Professional Agricultural Ad...
Explainable Deep Neural Network Based Multiclass Classification Of Tomato Leaf Disease
Tomato Leaf Diseases Pose A Persistent Challenge To Sustainable Crop Production, Requiring Accurate And Computationally Efficient Diagnostic Solutions For Real-time Field Applications. This Study Proposes A Hybrid Deep Learning Framework Th...
PLANT LEAF DISEASE DETECTION USING DEEP LEARNING
The Web-Based Plant Disease Detection And Fertilizer Recommendation System Presents A Web-based System For Detecting Plant Leaf Diseases. Users Can Upload Leaf Images Through A Simple Interface For Analysis.An Image Enhancement Module Impro...
ENHANCED GASTROINTESTINAL DISEASE DETECTION USING RESNET50: A COMPARATIVE STUDY OF DEEP LEARNING ARCHITECTURES FOR MEDICAL IMAGE CLASSIFICATION
Gastrointestinal (GI) Diseases Such As Polyps, Ulcers, And Tumors Require Early Detection For Effective Treatment. Traditional Manual Inspection Of Endoscopy Images Is Timeconsuming And Prone To Human Error. This Project Proposes An AIbased...
Plant Disease Detection Using Deep Learning
Agriculture Plays A Crucial Role In Global Food Security, And Plant Diseases Represent One Of The Most Significant Threats To Crop Productivity And Quality Worldwide. Traditional Methods Of Disease Identification Rely Heavily On Manual Insp...
Deep Learning-Based Eye Disease Detection
Eye Diseases Such As Diabetic Retinopathy (DR), Glaucoma, And Age-related Macular Degeneration (AMD) Remain Major Causes Of Vision Loss Globally. Early Screening Is Crucial But Limited By The Availability Of Trained Ophthalmologists. This P...
AI Meets Nature: Crop Disease Detection With Organic Remedy Recommendations
Food Security And Sustainable Agriculture Are Critical Global Priorities, Yet Current Farming Practices Heavily Reliant On Chemical Pesticides Continue To Degrade Soil Health, Reduce Biodiversity, And Pose Risks To Human Well-being. Most Ex...
Dental Disease Detection Based On Deep Learning Algorithm Using Various Radiographs
Dental Diseases Such As Dental Caries, Periodontal Disease, Periapical Lesions, And Bone Loss Are Among The Most Prevalent Oral Health Issues Globally. Early And Accurate Detection Is Critical To Preventing Progression And Ensuring Effectiv...
IDENTIFYING PLANT DISEASE USING IMAGE PROCESSING AND DEEP LEARNING
In India's Economy, Agriculture Plays Important Role. To Prevent Crop Loss And Future Plants Disease Spread, Early Detection Of Plant Infections Is Extremely Important. The Majority Of Plants, Including Apple, Tomato, Cherry, And Grapes, Ex...
tomato leaf disease detection using convolutional neural network
Tomato Leaf Disease Is A Serious Issue That Can Cause Significant Yield Loss And Affect The Quality Of The Crop. In Recent Years, Deep Learning Techniques Have Been Applied To Detect Plant Diseases Using Images Of Affected Leaves. This Stud...
ADVANCED PLANT DISEASE DETECTION USING NEURAL NETWORK
The Latest Generation Of Convolutional Neural Networks (CNNs) Has Achieved Impressive Results In The Field Of Image Classification. This Paper Is Concerned With A New Approach To The Development Of Plant Disease Recognition Model, Based On...
PLANT LEAF DISEASE DETECTION USING IMAGE PROCESSING TECHNIQUES
The Agricultural Segment Assumes An Indispensable Job In Support Capable Monetary Development And Food Security. Be That As It May, Crop Diseases Frequently Cause An Extraordinary Danger In Accomplishing This Objective. Thusly, A Fruitful R...
SMART AGRICULTURE USING MACHINE LEARNING
The Main Wealth Of The India Is Farming. But Damaging Rate Of That Agricultural Product Is Mainly Through The Natural Disasters Like Floods And Storm And Second Factor Is The Virus Or Bacteria Affect The Plant. For Detecting The Disease In...
DETECTION OF UNHEALTHY PLANT LEAVES USING IMAGE PROCESSING
India Is An Agricultural Country And About 70% Of Our Population Depends On Agriculture. One-third Of Our National Income Comes From Agriculture. But Disease Detection In Plants Plays An Important Role In The Agriculture Field And Are Quite...
PLANT LEAF IDENTIFICATION AND DISEASE DETECTION
Plant Leaf Identification And Disease Detection Play An Important Role In Both Agriculture And Horticulture Fields. Here Leaves Are Considered For Name Identification And Disease Detection, As They Possess Several Features And Most Commonly...