Organized by:	Core Research Institute of Intelligent Robots, Jeonbuk National University, South Korea. BK21 JIANT-IT Human Resource Development Center, Jeonbuk National University, South Korea.
Co-organized by:	Tianjin Association for Artificial Intelligence, China.  Tianjin International Joint Research Center for Intelligent Computing and Biometric Recognition Technology, China.

 

Introduction

 

Welcome to the Second International Workshop on Artificial Intelligence in Agriculture, scheduled for May 30 - 31, 2024. In today's rapidly evolving agricultural landscape, innovation is crucial to address the myriad challenges faced by the industry, including rising maintenance costs, labor shortages, and shifting consumer preferences. Fortunately, recent advancements in technology, in particular artificial intelligence, have paved the way for significant progress in modern agriculture.

 

One of the key areas of technological innovation lies in the application of autonomous systems to perform intricate tasks within farms. These systems, ranging from disease prediction to plant monitoring and harvesting, work in tandem with users to provide reliable data gathered from a multitude of sensors. This data not only enhances resource utilization but also minimizes losses, ultimately optimizing the cultivation process.

 

The primary objective of our workshop is to foster knowledge exchange and collaboration among researchers and practitioners in the field. Through presentations and discussions, our esteemed speakers will share their insights and experiences, contributing to the advancement of research in artificial intelligence in agriculture, as well as other areas relevant to the topic. It is our hope that this gathering will not only strengthen existing research endeavors but also facilitate collaboration among institutions.

Organization of the Workshop 

 General Chair:

- Yongchae Jeong, Jeonbuk National University, South Korea

 

General Co-Chairs:

- Jucheng Yang, Tianjin University of Science and Technology, China

- Sook Yoon, Mokpo National University, South Korea

 

Acting Chairs:

- Donggu Im, Jeonbuk National University, South Korea

-  Alvaro Fuentes, Jeonbuk National University, South Korea

 

Committee Members:

-  Hyongsuk Kim, Jeonbuk National University, South Korea

-  Lei Shu, Nanjing Agricultural University, China

-  Dong Sun Park, Jeonbuk National University, South Korea

-  Yong Yang, Tiangong University, China

-  Yuzhen Lu, Michigan State University, USA

-  Chuanlei Zhang, Tianjin University of Science and Technology, China

-  Michał Strzelecki, Lodz University of Technology, Poland

-  Jongbin Park, Jeonbuk National University, South Korea

-  Mingle Xu, Jeonbuk National University, South Korea

-  Sangcheol Kim, Jeonbuk National University, South Korea

-  Efren-Fitz Rodriguez, Universidad de Chapingo, Mexico

-  Sangjun Lee, Jeonbuk National University, South Korea

-  Jonghoon Lee, Jeonbuk National University, South Korea

Language:

   The official language of the workshop is English.

Location:

   Jeonbuk National University, Engineering 8th Building (2-8), room 203.

Address:

   567 Baekje-daero, Deokjin-gu, Jeonju-si, Jeonbuk, 54896 South Korea

    https://maps.app.goo.gl/QuGJA9gww6L6xwVE8

 

Online links:

    Zoom link Day 1: https://us06web.zoom.us/j/85197451877?wd=0HzyoOe7DcUBk54GLh4YOth9glP4kt.1

    Meeting ID: 851 9745 1877

    Passcode: 152862

    Zoom link Day 2:   https://us06web.zoom.us/j/89217367912?pwd=RzEN3OjLZZSxsCBSJPjXkairWjIzbp.1

    Meeting ID: 892 1736 7912

    Passcode: 152862

 

Presentation guidelines:

- Presenters should prepare their presentation using Microsoft PowerPoint or Portable Document Format (PDF).

      - The total time allowed for each presentation is 20 min: 15 minutes for presentation and 5 minutes for Q&A.

Workshop Schedule (Korea Time GMT+9)

Day 1 – Thursday, May 30, 2024:

Time	Content	Speaker
09:30-09:40	Introduction and Welcome Message	Yongchae Jeong
09:40-10:30	Keynote Presentation: Farmland Guardian - Applications and Research of Artificial Intelligence in Agriculture	Lei Shu
10:30-10:40	Break
Session 1: AI in Agriculture (I) Session Chair: Alvaro Fuentes (Jeonbuk National University)
10:40-11:00	Machine Vision for Automated Fruit Grading	Yuzhen Yu
11:00-11:20	Semantic Graphics as an Efficient Annotation Tool for Artificial Intelligence in Agriculture	Hyongsuk Kim
11:20-11:40	Food Inspection based on Machine Learning and Hyperspectral Imaging	Lei Chen
11:40-12:00	Enhancing Plant Growth and Stress Detection in Real-field Controlled Agriculture Environments	Alvaro Fuentes
12:00-14:00	Lunch Break
Session 2: AI Fundamentals Session Chair: Yong Yang (Tiangong University)
14:00-14:20	Generative Artificial Intelligence and Its Applications	Jucheng Yang
14:20-14:40	Lightweight Bidirectional Correction Residual Network for Image Super-Resolution	Yong Yang
14:40-15:00	Intelligent UAV Visual Computing	Pengfei Zhu
15:00-15:20	Break
15:20-15:40	A Machine-People-Government Triangular Model of Smart Agriculture	Chuanlei Zhang
15:40-16:00	Towards Automatic Animal Behavior Monitoring in Closed Livestock Farms	Sook Yoon
16:00-16:20	Evaluation of Age and Sex in Vertebral Body CT Data	Michał Strzelecki
16:20-16:25	Closing Statement Day 1	Hyongsuk Kim

Day 2 – Friday, May 31, 2024:

Time	Content	Speaker
09:30-09:40	Introduction to Day 2	Dong Sun Park
09:40-10:30	Keynote Presentation 2: Predicting Weekly Production Rates and Growth-Mode Characterization in Greenhouse Tomatoes with Dynamic Neural Networks and Fuzzy Logic	Efren Fitz-Rodriguez
10:30-10:40	Break
Session 3: AI in Agriculture (II) Session Chair: Sangjun Lee (Jeonbuk National University)
10:40-11:00	Large Language Models and Foundation Models in Smart Agriculture	Dong Chen
11:00-11:20	Intelligent Fertigation Supply for Greenhouse Plants using Environmental and Root Zone Data	Mingle Xu
11:20-11:40	The Present and Future of Smart Agriculture in South Korea	Taehyun Kim
11:40-11:45	Workshop Closing Statement	Donggu Im