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An android application for leaf-based plant identification

Sofiene Mouine, Itheri Yahiaoui, Anne Verroust-Blondet, Laurent Joyeux, Souheil Selmi, Hervé Goëau
2013 Proceedings of the 3rd ACM conference on International conference on multimedia retrieval - ICMR '13  
This paper presents an Android application for plant identification. The system relies on the observation of leaf images.  ...  The application achieves good identification accuracy and provides Android users a useful system for plant identification.  ...  The identification results given by these descriptors can be found in [5, 6] . CONCLUSION In this paper, an Android application for leaf species identification has been presented.  ... 
doi:10.1145/2461466.2461520 dblp:conf/mir/MouineYVJSG13 fatcat:apdvtlvetffjlhhnwajegamtlq

Image Annotation Using Multi-Label Learning

Sonal Mahale
2017 International Journal for Research in Applied Science and Engineering Technology  
In our project we describe the development of an android application that gives user ability to identify the ayurvedic plant leaf base on photographs of desired leaf.  ...  The proposed system aims to describe, desired leaf identification base on shape.  ...  In this project, identification android application that gives users or researcher the capability to identify the plant based on the photographs of plant leaf taken from an android application.  ... 
doi:10.22214/ijraset.2017.10247 fatcat:ibskkaerhjbu3pwyik7phvgsym

Image Processing System for Detecting and Recovering from Cotton Leaf Disease using The Android Application

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
We discuss several types of leaf diseases in the plants and their identification process, symptoms of disease and remedy measures are explained.  ...  To reduce farming, we introduce Android Application which diagnosis and identify the type of disease and symptoms of disease on plant leaves.  ...  Hase A.K [1] have proposed the Android-based image processing system for detecting and restoring leaf diseases.This paper introduced to identification of the disease using android application.  ... 
doi:10.35940/ijitee.i8977.078919 fatcat:apoo5fcoy5dzlbvlhyjuy6y6w4

MedLeaf: Mobile Application for Medicinal Plant Identification Based on Leaf Image

Desta Sandya Prasvita, Yeni Herdiyeni
2013 International Journal on Advanced Science, Engineering and Information Technology  
This research proposes MedLeaf as a new mobile application for medicinal plants identification based on leaf image. The application runs on the Android operating system.  ...  To evaluate user satisfaction of the application we used questionnaire based on heuristic evaluation. The evaluation result shows that MedLeaf is promising for medicinal plants identification.  ...  In this research, develops a mobile application for medicinal plants identification based on leaves image that runs on Android operating system.  ... 
doi:10.18517/ijaseit.3.2.287 fatcat:2hxwmlje2nbq7agbo57anrwmae

An Android Application for Plant Leaf Disease Detection using Convolution Neural Network

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
Plant leaf diseases and ruinous insects are an important concern in the agricultural sector.  ...  Our goal is to develop an Android application with a suitable algorithm that will help automate the process of monitoring and detecting plant health.  ...  The main idea of the paper aims at creating an android application for detecting the diseases in the plants.  ... 
doi:10.35940/ijitee.l3649.1081219 fatcat:vm5w7i3nkbgetgqi3uioawzhxq

Leaf Disease Detection using Smart Phone

Mr. Akshay B. Patil
2019 International Journal for Research in Applied Science and Engineering Technology  
This application can easily be extended for different leaf diseases and different smart phone platforms.  ...  The recognition of a disease can often be based on symptoms like lesions or spots in various parts of a plant.  ...  An image processing technique that can be implemented as a smart phone application is presented in this paper for the recognition of plant diseases.  ... 
doi:10.22214/ijraset.2019.5582 fatcat:32yoaububzedbd4owzksliw5py

Implementation of Forward Chaining and Certainty Factor Method on Android-Based Expert System of Tomato Diseases Identification

Kurnia Muludi, Radix Suharjo, Admi Syarif, Fitria Ramadhani
2018 International Journal of Advanced Computer Science and Applications  
Expert system is a solution that has been widely used for identifying disease. This paper presents an Android-based expert system to help identifying tomato diseases.  ...  Plant disease is one of the reasons that cause the destruction of plant. It affects plant productivity and quality.  ...  Android is a software stack for mobile device that includes an operating system, middle-ware and key applications.  ... 
doi:10.14569/ijacsa.2018.090957 fatcat:jr2evdwphfd4jnkxdtrcjxq7o4

Medicinal Plant Identification using Android Application based on leaf image

2020 European Journal of Molecular and Clinical Medicine  
MedPlant provides this work as a modern smartphone leaf picture recognition tool for medicinal plants. The software operates on the operating system Android.  ...  MedPlant has two key functions, i.e. recognition of medicinal plants and quest data for medicinal plants.  ...  This is one of our main tasks to safeguard plants from numerous risks and to preserve the richness and equilibrium of the plant population.In this report, we suggest an automatic leaf-based mobile application  ... 
doi:10.31838/ejmcm.07.09.161 fatcat:qxdttvws35hvhi3eoqcrmupdnm

A Novel Approach for Plant Identification

Sonali A., Chaitali S., Tejaswini S., Ashok R., Hemant D.
2017 International Journal of Computer Applications  
leaf pictures with classifiers for plant ID.  ...  Plant Identification has a place with a particular application space of data mining. Pictures of plant leaves are generally utilized as the primary component to recognize a plant from another.  ...  SYSTEM ARCHITECTURE Fig 1: System Architecture In this Architecture diagram, we are developing portable application for plant Identification.  ... 
doi:10.5120/ijca2017915752 fatcat:ncr3b2onmne3rbarwm3axfamjm

A MOBILE APPLICATION FOR SUGARCANE PLANT HEALTH MONITORING

Sapna ., S A Angadi .
2019 International Journal of Engineering Applied Sciences and Technology  
Therefore, image processing is used for the identification of plant diseases.  ...  The technique used for the detection of plant diseases is to analyze plant leaves.  ...  D] Feature Extraction Feature extraction plays an important role for identification of an object. In many application of image processing feature extraction is used.  ... 
doi:10.33564/ijeast.2019.v04i03.047 fatcat:dwgbw6icbvhnpcbgywxdsfykue

Crops Diseases Detection and Solution System

Md. Abdul Awal, Mohammad Jahangir Alam, Md. Nurul Mustafa
2017 International Journal of Informatics and Communication Technology (IJ-ICT)  
This research developed for crops diseases detection and to provides solution by using image processing techniques. We have used Android Studio to develop the system.  ...  <p>The technology based modern agriculture industries are today's requirement in every part of agriculture in Bangladesh. In this technology, the disease of plants is precisely controlled.  ...  through an android application.  ... 
doi:10.11591/ijict.v6i3.pp209-217 fatcat:nrjudishingmleoviv2s35txuq

Central Attention and a Dual Path Convolutional Neural Network in Real-World Tree Species Recognition

Yi Chung, Chih-Ang Chou, Chih-Yang Li
2021 International Journal of Environmental Research and Public Health  
Identifying plants is not only the job of professionals, but also useful or essential for the plant lover and the general public.  ...  Although deep learning approaches for plant recognition are promising, driven by the success of convolutional neural networks (CNN), their performances are still far from the requirements of an in-field  ...  Chang for administrative management.  ... 
doi:10.3390/ijerph18030961 pmid:33499249 pmcid:PMC7908595 fatcat:ffluyvtqnfdgjaovv4fynvvad4

Plant Leaf Disease Detection with Solution using Machine Learning

K. Papal Suraj, S. Majgaonkar Swedit, M. Sonawane Dipak, R. Sawant Atul, B. Yadav Gitanjali
2020 Zenodo  
If the plant leaf is healthy it will show the plant leaf is healthy as an information message.  ...  Identification of plant leaf disease detection. Detection of disease and giving solution on disease.  ...  The use of CNN algorithm its layers for classification image. The use of deep learning with the tensor flow technology and that technology use in android application.  ... 
doi:10.5281/zenodo.3898903 fatcat:g5jpqbyc3vdvxcmob4re3dgnru

Design of a Novel Remote Monitoring System for Smart Greenhouses Using the Internet of Things and Deep Convolutional Neural Networks

Adel Mellit, Mohamed Benghanem, Omar Herrak, Abdelaziz Messalaoui
2021 Energies  
An Android mobile application was also developed using an A6 GSM module for notifying farmers (e.g., sending a warning message in case of any anomaly) regarding the state of the plants.  ...  A low-cost camera was used to collect and send images of the plants via the webpage for possible diseases identification and classification.  ...  Acknowledgments: We would like to thank the Deanship of Scientific Research at the Islamic University of Madinah, Saudi Arabia, for the financial support of this work through the program Tamayyouz II of  ... 
doi:10.3390/en14165045 fatcat:6oc7b7fdrnf4zdlkgmubdqcmom

OpenCV Based Disease Identification of Mango Leaves

Jayaprakash Sethupathy, Veni S
2016 International Journal of Engineering and Technology  
Disease identification based on analysis of patches or discoloring of leaf will hold good for some of the plant diseases, but some other diseases which will deform the leaf shape cannot be identified based  ...  In this case leaf shape based disease identification has to be performed.  ...  For android based application morphological feature extraction technique is used because of the non availability of Fourier transform libraries in OpenCV.  ... 
doi:10.21817/ijet/2016/v8i5/160805417 fatcat:up2hm7ehsjeyjfrkeb3uxqjy5i
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