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Papers tagged with "Leaf"
Disaster Relief: A Unified Multi-Stakeholder PWA-Based Emergency Response System With Real-Time Coordination And Report History
Effective Disaster Management Requires Rapid, Coordinated Communication Among Citizens, Relief Organisations, And Administrative Authorities. Existing Systems Are Fragmented, Lack Real-time Geographic Awareness, And Fail To Provide Emergenc...
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 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...
DESIGN AND ANALYSIS OF LEAF SPRING WITH A FINITE COMPONENT TECHNIQUE BY COMPOSITE MATERIAL OFFER HIGH STRENGTH AND LIGHT WEIGHT OF SMALL SEGMENTATION
The Mechanics Of Composite Material Laid The Foundation For The Utilization Of Composites In Various Fields. The Demand Of Composite Materials Has Been Highly Augmented In Vehicle Industry. In This Work, I Investigated The Use Of Composite...
A Comprehensive Review On Machine Learning Based Techniques For Crop Blight Detection
Plant Diseases Like Early And Late Blight Must Be Promptly Identified, And This Requires Automated Blight Detection. These Illnesses Have The Potential To Spread Quickly And Seriously Harm Crops. By Taking Timely And Focused Action To Limit...
SUSTAINABLE AGRICULTURE: A APPROACH FOR RICE LEAF DISEASE DETECTION AND CLASSIFICATION USING DCNN AND ENHANCED DATASETS
The Quality And Productivity Of Rice Crops Can Be Significantly Impacted By A Variety Of Diseases. For Effective Management And Higher Agricultural Productivity, Early Disease Detection And Classification Are Essential. The Primary Objectiv...
Leaf Disease Prediction Using Classification in Machine Learning and GUI
In Agriculture, Timely Detection And Classification Of Leaf Diseases Play A Crucial Role In Ensuring Crop Health And Yield Optimization. With The Advent Of Machine Learning (ML) Techniques, Automated Systems Have Emerged As Effective Tools...
SOLAR POWERED MULTIPURPOSE AUTONOMOUS AGRICULTARAL ROBOT
Around 42% Of The People On The Earth Chose Agriculture For Their Profession. It Is Also Seen That Agribusiness Is Called The “backbone Of India” As More Than 70% Of The Indian Population Depends On Horticulture. Horticulture Is The Prepara...
WEB APPLICATION FOR POTATO LEAF DISEASES DETECTION WITH MESSAGE ALERT
Potato Is The Most Important And Widely Consumed Food In The World. India Is One Of The Top Producing Countries Of Potato As Most Of The People Here Choose It For Cultivation. Potato Cultivation Is An Excellent Source Of Good Income. Despit...
MONITORING NUTRITIONAL DEFICIENCIES IN PLANTS USING IOT
The Term "nutrition" Refers To A Soil's Ingrain Capability To Give Nutrients To Shops In Sufficient Amounts And In The Right Proportions. The Term" Nutrition" Refers To The Series Of Connected Processes Through Which A Living Thing Assimila...
Classification of Plant Leaf Disease Using Machine Learning & Pre-Processing Techniques
Agriculture Is The Backbone Of The Indian Economy. In India Itself, Around 65% Of The Population Is Based On Agriculture. Due To Changes In Weather & Local Conditions, The Crops Get Infected & They Get Infected By Various Diseases Which Res...
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...
DESIGN AND EXPERIMENTAL ANALYSIS OF WIND TURBINE WITH AEROLEAF BLADE
This Project (Design Of Aeroleaf Wind Turbine) Is About Designing And Manufacturing A Vertical Axis Wind Turbines VAWT To Transfer The Wind Speed To A Rotational Motion Using These Turbines.These Turbines Will Be Attached To A Manufactured...
DESIGN AND ANALYSIS OF COMPOSITE LEAF SPRING
Composites Are Possible Replacements For The Metals, Which Have The Same Strength But Less Weight. They Have Higher Strength-weight Ratio. Among The Various Types Of Composites, Fiber-reinforced Polymeric Composites Are Now Utilized In Diff...
COMPARISON STUDY OF VGG16 AND INCEPTIONV3 TRANSFER LEARNING MODELS FOR CLASSIFICATION OF PLANT LEAF DISEASE
Early Diagnosis Of Plant Diseases Carried Out By Professionals In Laboratory Trials Is Usually Not Suitable For Quick And Affordable Performance. Using Deep Learning, Leaf Images Are Used As Information Input. Training Deep Learning Models...