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Disease Detection

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Papers tagged with "Disease Detection"

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Vol 12, Issue 6 (June 2026) CSE

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...

K.NAGAMANI, N.SANDEEP KUMAR
Vol 12, Issue 5 (May 2026) Computer Science

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...

Rupesh Kumar, Dr. Ranu Pandey

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...

Dr .P. Shanmuga Priya, Cladias Wilfred L, Krishnan J, Suhail H
Vol 12, Issue 5 (May 2026) Computer Science And Engineering

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...

Sharmilaa S, Udhayakumari S, Sona M, Vishnu Devi R
Vol 12, Issue 4 (April 2026) CSE

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...

K. Nithilan, KSJ. Nilesh, MS. Preethish, R. Sindhiya
Vol 12, Issue 3 (March 2026) AI And Deep Learning In Medical

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...

Mrs.I.Suganya, Mrs. R. K. Nithya, Ms.K.Kavipriya, Ms.A.Sindhupriya, Ms.S.T.Swathi
Vol 11, Issue 11 (November 2025) Computer Science And Engineering

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...

Gorisetty Nirosha, Sruthilaya Mindi, Gembali Sravanthi, Ungati Mahesh, Shaik Afrin
Vol 11, Issue 5 (May 2025) Information Technology

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...

Darshini N, Dhanusree K, SriVarthini K, Swetha E
Vol 9, Issue 3 (March 2023) Computer Science & Engineering

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...

Sriraja B, Suresh Rajan M, Thavaprakash S, Solasa Naga Sai Surendra Gupta | Rajagopal T K P
Vol 9, Issue 3 (March 2023) Computer Science And Engineering

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...

Suncia Ashrine, Abin Singh K, Jithin M, Keroline W
Vol 8, Issue 7 (July 2022) Communication Systems

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...

Vaishnavi.S, Mrs.T.Agnes Ramena
Vol 6, Issue 6 (June 2020) Computer Science And Engineering

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...

S. Arunkumar, G. Robinsingh, P. Vyshnav

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...

T Joywin, G Mohan, M Pranav, Mrs. N Meneka Devi

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...

S.Banupriya , S. Arun Kumar , I.Venkatesh, Ms.R.Sasikala
Vol 5, Issue 3 (March 2019) Information Technology

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...

M.Padma Priya , A.Nancy Angel Rani , C.Prabavathi , R.Pradeepa, N.S.Yahini

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