Authors :
Shaikh Amin Farooqbhai; Ujjwal Laad; Sudarshan Arzare; Tushar Yadav; Chintu Gouda
Volume/Issue :
Volume 10 - 2025, Issue 3 - March
Google Scholar :
https://tinyurl.com/t3nfvukx
Scribd :
https://tinyurl.com/4ym4hyet
DOI :
https://doi.org/10.38124/ijisrt/25mar059
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Leaf Alert is a Streamlit-based Web Application designed to detect whether a plant is diseased or healthy using deep
learning. The system uses a convolutional neural network (CNN) trained on the PlantVillage dataset to classify diseases based
on leaf shape and colour. It allows users to upload multiple images for prediction via an intuitive web-interface. The model was
trained using Kaggle for higher computational resources and it also targets issues such as overfitting to improve accuracy. Leaf
Alert increases agricultural productivity by providing AI- powered early warning solutions. This paper describes the design,
development and evaluation of the application and compares it with similar web-based plant disease management systems such
as plantix and ai powered plant disease detection.
Keywords :
Plant Disease Classification, Deep Learning, CNN, Plantvillage Dataset, Image Classification, Tensorflow, Streamlit, Disease Detection, Web Application.
References :
- A Systematic Literature Review on Plant Disease Detection: Motivations, Classification, Techniques, Datasets, Challenges, and Future Trends
Author: WASSWA SHAFIK ABDALLAH NAMOUN, ALI TUFAIL, LIYANAGE CHANDRATILAK DE SILVA, ROSYZIE ANNA AWG HAJI MOHD APONG
- Machine Learning and Deep Learning for Plant Disease Classification and Detection
Author: VASILEIOS BALAFAS, EMMANOUIL KARANTOUMANIS, MALAMATI LOUTA, NIKOLAOS PLOSKAS
- Plant Disease Detection and Classification by Deep Learning: A Review
Author: LILI LI, SHUJUAN ZHANG, BIN WANG
- Plant Disease Detection Using Generated Leaves Based on DoubleGAN
Author: YAFENG ZHAO, ZHEN CHEN, XUAN GAO, JUNFENG HU, WENLONG SONG, ZHICHAO ZHANG, QIANG XIONG
- A Review of Leaf Diseases Detection and Classification by Deep Learning
Author: ASSAD SOULEYMAN DOUTOUM, BULENT TUGRUL
- Detection of Apple Plant Diseases Using Leaf Images Through Convolutional Neural Network
Author: VIBHOR KUMAR VISHNOI, BRAJESH KUMAR, KRISHAN KUMAR, SHASHANK MOHAN, ARFAT AHMAD KHAN
- Azimuth-Sensitive Object Detection in SAR Images Using Improved YOLO V5 Model
Author: JI GE, BO ZHANG, CHAO WANG, CHANGGUI XU, ZHIXIN TIAN, LU XU
- Automated Brain Tumor Segmentation and Classification in MRI Using YOLO-Based Deep Learning
Author: MARAM FAHAAD ALMUFAREH, MUHAMMAD IMRAN, ABDULLAH KHAN, MAMOONA HUMAYUN, MUHAMMAD ASIM
- A Performance-Optimized Deep Learning-Based Plant Disease Detection Approach for Horticultural Crops of New Zealand
Author: MUHAMMAD HAMMAD SALEEM, KHALID MAHMOOD ARIF, JOHAN POTGIETER
- YR2S: Efficient Deep Learning Technique for Detecting and Classifying Plant Leaf Diseases
Author: CHUNDURI MADHURYA, EMERSON AJITH JUBILSON
- PlantDet: A Robust Multi-Model Ensemble Method Based on Deep Learning for Plant Disease Detection
Author: MD. SAKIB HOSSAIN SHOVON, M. F. MRIDHA, SHAKRIN JAHAN MOZUMDER, OSIM KUMAR PAL, NOBUYOSHI ASAI, JUNGPIL SHIN
- Plant Leaf Disease Detection Using Deep Learning
Author: GANDHAM HARISH, GOLI SAI CHARAN, KOTIPALLY PRAVEEN KUMAR, DR. B. LAXMAIAH, DR. SUWARNA GOTHANE
- FieldPlant: A Dataset of Field Plant Images for Plant Disease Detection and Classification With Deep Learning
Author: EMMANUEL MOUPOJOU, ANICET TADONKEMWA, APPOLINAIRE TAGNE, FLORENT RETRAINT, DONGMO WILFRIED, HYPPOLITE TAPAMO, MARCELLIN NKENLIFACK
- Apple-YOLO: A Novel Mobile Terminal Detector Based on YOLOv5 for Early Apple Leaf Diseases
Author: JINJIANG LI, XIANYU ZHU, RUNCHANG JIA, BIN LIU, CONG YU
- YOLO Network-Based for Detection of Rice Leaf Disease
Author: FARUQ AZIZ, FERDA ERNAWAN, MOHAMMAD FAKHRELDIN, PRAJANTO WAHYU ADI
- A Defect Detection Method for a Boiler Inner Wall Based on an Improved YOLO-v5 Network and Data Augmentation Technologies
Author: XIAOMING SUN, XINCHUN JIA, YUQIAN LIANG, MEIGANG WANG, XIAOBO CHI
- An Implementation of Real-Time Traffic Signs and Road Objects Detection Based on Mobile GPU Platforms
Author: EMIN GUNEY, CUNEYT BAYILMIS, BATUHAN CAKAN
- An Early and Smart Detection of Corn Plant Leaf Diseases Using IoT and Deep Learning Multi-Models
Author: RUBINA RASHID, WAQAR ASLAM, ROMANA AZIZ, GHADAH ALDEHIM
- A Review of Plant Disease Detection and Classification by Deep Learning
Author: IZ, GHADAH ALDEHIM
- Diseases Using IoT and Deep Learning Multi-Models
Author: RUBINA RASHID, WAQAR ASLAM
- Image-Based Disease Diagnosing and Predicting of the Crops Through the Deep Learning Mechanism
Author: H. PARK, J. S. EUN, S. H. KIM
- Plant Disease Classification Using Image Segmentation and SVM Techniques
Author: K. ELANGOVAN, S. NALINI
Leaf Alert is a Streamlit-based Web Application designed to detect whether a plant is diseased or healthy using deep
learning. The system uses a convolutional neural network (CNN) trained on the PlantVillage dataset to classify diseases based
on leaf shape and colour. It allows users to upload multiple images for prediction via an intuitive web-interface. The model was
trained using Kaggle for higher computational resources and it also targets issues such as overfitting to improve accuracy. Leaf
Alert increases agricultural productivity by providing AI- powered early warning solutions. This paper describes the design,
development and evaluation of the application and compares it with similar web-based plant disease management systems such
as plantix and ai powered plant disease detection.
Keywords :
Plant Disease Classification, Deep Learning, CNN, Plantvillage Dataset, Image Classification, Tensorflow, Streamlit, Disease Detection, Web Application.
