The International Research Conference Aims and Objectives
The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation
within the conference program. Events will run over a span of time during the conference depending on the number and length of the presentations.
With its high quality, it provides an exceptional value for students, academics and industry researchers.
ICANNAPDD 2022: 16. International Conference on Artificial Neural Networks in Agriculture and Plant Diseases and Damages
aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of
Artificial Neural Networks in Agriculture and Plant Diseases and Damages.
It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations,
trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Artificial Neural Networks in Agriculture and Plant Diseases and Damages
Call for Contributions
Prospective authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters.
Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or
theoretical work in all areas of Artificial Neural Networks in Agriculture and Plant Diseases and Damages are cordially invited for presentation at the conference.
The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of
novel research materials.
Guidelines for Authors
Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers.
Downloadable versions of the check list for
Full-Text Papers and
Abstract Papers.
Please refer to the
Paper Submission Guideline,
Abstract Submission Guideline and
Author Information
before submitting your paper.
Conference Proceedings
All submitted conference papers will be blind peer reviewed by three competent reviewers.
The peer-reviewed conference proceedings are indexed in the Open Science Index,
Google Scholar,
Semantic Scholar,
Zenedo,
OpenAIRE,
BASE,
WorldCAT,
Sherpa/RoMEO,
and other index databases. Impact Factor Indicators.
Special Journal Issues
ICANNAPDD 2022 has teamed up with the Special Journal Issue on
Artificial Neural Networks in Agriculture and Plant Diseases and Damages.
A number of selected high-impact full text papers will also be considered for the special journal issues.
All submitted papers will have the opportunity to be considered for this Special Journal Issue.
The paper selection will be carried out during the peer review process as well as at the conference presentation stage.
Submitted papers must not be under consideration by any other journal or publication.
The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly.
Selected full-text papers will be published online free of charge.
Conference Sponsor and Exhibitor Opportunities
The Conference offers the opportunity to become a conference sponsor or exhibitor.
To participate as a sponsor or exhibitor, please download and complete the
Conference Sponsorship Request Form.
Selected Papers
-
Improved Rare Species Identification Using Focal Loss Based Deep Learning Models
Chad Goldsworthy, B. Rajeswari Matam
-
Intelligent System and Renewable Energy: A Farming Platform in Precision Agriculture
Ryan B. Escorial, Elmer A. Maravillas, Chris Jordan G. Aliac
-
Normal and Peaberry Coffee Beans Classification from Green Coffee Bean Images Using Convolutional Neural Networks and Support Vector Machine
Hira Lal Gope, Hidekazu Fukai
-
A Survey of Field Programmable Gate Array-Based Convolutional Neural Network Accelerators
Wei Zhang
-
Foot Recognition Using Deep Learning for Knee Rehabilitation
Rakkrit Duangsoithong, Jermphiphut Jaruenpunyasak, Alba Garcia
-
Performance Evaluation of Distributed Deep Learning Frameworks in Cloud Environment
Shuen-Tai Wang, Fang-An Kuo, Chau-Yi Chou, Yu-Bin Fang
-
Classification of Computer Generated Images from Photographic Images Using Convolutional Neural Networks
Chaitanya Chawla, Divya Panwar, Gurneesh Singh Anand, M. P. S Bhatia
-
Sunflower Irrigation with Two Different Types of Soil Moisture Sensors
C. D. Papanikolaou, V. A. Giouvanis, E. A. Karatasiou, D. S. Dimakas, M. A. Sakellariou-Makrantonaki
-
Causal Relation Identification Using Convolutional Neural Networks and Knowledge Based Features
Tharini N. de Silva, Xiao Zhibo, Zhao Rui, Mao Kezhi
-
Impact of Long Term Application of Municipal Solid Waste on Physicochemical and Microbial Parameters and Heavy Metal Distribution in Soils in Accordance to Its Agricultural Uses
Rinku Dhanker, Suman Chaudhary, Tanvi Bhatia, Sneh Goyal
-
Topographic Mapping of Farmland by Integration of Multiple Sensors on Board Low-Altitude Unmanned Aerial System
Mengmeng Du, Noboru Noguchi, Hiroshi Okamoto, Noriko Kobayashi
-
Pose Normalization Network for Object Classification
Bingquan Shen
-
Model-Driven and Data-Driven Approaches for Crop Yield Prediction: Analysis and Comparison
Xiangtuo Chen, Paul-Henry Cournéde
-
Influence of Environment-Friendly Organic Wastes on the Properties of Sandy Soil under Growing Zea mays L. in Arid Regions
Mohamed Rashad, Mohamed Hafez, Mohamed Emran, Emad Aboukila, Ibrahim Nassar
-
Biogas from Cover Crops and Field Residues: Effects on Soil, Water, Climate and Ecological Footprint
Manfred Szerencsits, Christine Weinberger, Maximilian Kuderna, Franz Feichtinger, Eva Erhart, Stephan Maier
ANNs in agriculture
Plant and livestock monitoring
Plant diseases and damages
Plant growth
Yield prediction
Crop classification
Crop quality assessment
Crop models
Cropping systems
Soil and plant nutrition
Soil fertility management
Automated harvesting
Irrigation systems
Agrometeorological models
Model application for sustainable agriculture
Precision agriculture
Remote sensing for agriculture
Decision supporting systems
Neural image analysis
Convolutional neural networks
Other agricultural topics (with the use of ANN)
Abstracts/Full-Text Paper Submission Deadline |
|
January 28, 2021 |
Notification of Acceptance/Rejection |
|
February 11, 2021 |
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline |
|
March 08, 2022 |
Conference Dates |
|
March 08-09, 2022 |
M. Nadir Sidiqi |
California Department of Pesticide Regulation, US |
Hossein Kazemi |
Gorgan University of Agricultural Sciences and Natural Resources (GUASNR), IR |
Abeer Hedia |
Agricultural Engineering Research Institute, EG |
Varun Tripathi |
Invertis University, IN |
Narayana Bhat |
Kuwait Institute for Scientific Research, KW |
Abdoul Chakour Salami |
Ondokuz Mayis University, TR |
Dilier Olivera Viciedo |
São Paulo State University (UNESP), School of Agricultural and Veterinarian Sciences, Jaboticabal, São Paulo, Brazil, BR |
Gürcan Duygu Baysal |
Ministry of Agriculture and Forestry, TR |
Nehal El-Mougy |
National Research Centre, EG |
Mokhtar Abdel-Kader |
National Research Centre, EG |
Wasiq Ikram |
Minhaj University Lahore, PK |
Manoochehr Farboodi |
Islamic Azad University Miyaneh Branch, IR |
Goutam Mondal |
Bidhan Chandra Krishi Viswavidyalaya, IN |
Shah Saud |
Northeast Agriculture University, CN |
Abdelraouf M. Ali |
National Authority for Remote Sensing and Space Sciences (NARSS), EG |
Muhammad Ikram Ul Haq |
University of Agriculture Faisalabad, PK |
Pedro Alberto Rojas Rojas |
Instituto Lightbourn, MX |
Alberto Assirelli |
Council for Agricultural Research and Economics (CREA), IT |
Archana Singh |
Institute of Environment and Sustainable Development, IN |
Nana Ewusi-Mensah |
Kwame Nkrumah University of Science and Technology, GH |
Emad Hafez |
Kafrelsheikh University, EG |
Samaneh Samavat |
Research Institute of Forests and Rangelands, IR |
Astghik Sukiasyan |
National polytechnic university of Armenia, Armenia |
Krishna Singh |
G B Pant University of Agriculture & Technology, |
Manfred Szerencsits |
Oekocluster, Austria |
Kefaya Qaddoum |
Bahrain Polytechnic, Bahrain |
Zahra Hosseini Cici |
Payam Noor University, IR |
Mohammad Mobin |
University of Tabuk, SA |
Hossein Shabanali Fami |
University of Tehran, IR |
Muhammad Umer |
Comsats Institute of Information Technology, PK |
Participation Type |
Early Registration Fees |
Registration Fees |
Non-Student Oral/Poster Presenter Registration |
€ 450 |
€ 500 |
Student Oral/Poster Presenter Registration |
€ 350 |
€ 400 |
Listener Registration |
€ 250 |
€ 300 |
Additional Paper Publication |
€ 100 |
All conference materials and services will be delivered digitally to the participant with the online conference management system.
Conference registration includes the following digital materials and services:
- e-certificates [for Authors: Certificate of Attendance and Presentation; for Listeners: Certificate of Attendance; for Chairs: Certificate of Attendance and Appreciation; for Presenters: Certificate of Best Presentation (if conferred based appraisal)]
- e-program
- e-book
- e-name badge
- e-receipt
- e-presentation
Presentation Types:
-
Physical presentation is an oral conferencing presentation that is made using digital technology including embedded digital elements ( texts, tables, graphs, or videos ) for PowerPoint sharing.
-
Digital presentation is a digital conferencing presentation that is made using digital technology including embedded digital elements ( texts, tables, graphs, or videos ) for PowerPoint sharing.
Early Bird Registration
Early Bird registration is valid until 2022-03-08 23:59:59
Online Credit Card Processing
Online payment option available for author
and listener delegates.
Conference participants can make online credit card payments for conference registration fees.