Suncheon National University’s Intelligent Smart Agriculture Grand ICT Research Center (Center Director Yeo Hyeon) announced on the twenty ninth of last month that it successfully accomplished the ‘Re-education of local industrial staff within the second half of 2024’ event with the attendance of local industry employees, graduates and students of graduate school’s smart agriculture major. .
This retraining focused on practical training on combining smart agriculture and generative AI, and aimed to strengthen practical capabilities.
Smart agriculture education using ChatGPT
On at the present time, Kim Tae-yeon, director of the Together Future Education Research Institute, was invited and the lecture was held under the theme of ‘Use of ChatGPT for smart agriculture.’
Taking a look at the primary content, we received training on ‘Understanding trends within the generative AI era’, which explores the role and development direction of AI in smart agriculture, and ‘The best way to write efficient commands’ within the agricultural field through ChatGPT prompt engineering practice.
As well as, we focused on learning the best way to apply data-based decision making and efficient document writing, and suggesting ways to introduce AI in consumer targeting and agricultural product promotion strategies.
Participants showed high satisfaction with the hands-on training method and expressed deep interest in the opportunity of agricultural innovation using AI technology.
The importance of smart agriculture re-education
Professor Hyeon Yeo, head of the Grand ICT Research Center, said, “Smart agriculture is a field centered on technological innovation and data utilization, and re-education on the most recent trends and technologies is crucial.” He added, “Through this event, local industries and smart agriculture staff will have the option to develop practical capabilities.” “I hope we will strengthen it,” he said.
As well as, he added, “We plan to proceed to operate various retraining programs for industrial staff and the local people.”
With the intention to more effectively introduce AI technology in the sector of smart agriculture, ‘reinforcement of agricultural-specific AI model development and practice’ and ‘agricultural dataset-based AI model learning practice’ are also needed.
Officials emphasized “expansion of agricultural-specific application cases similar to climate change and crop growth prediction” and “case-based practice that solves specific problems similar to agricultural production, logistics, and marketing with ChatGPT through field-oriented problem-solving education.”
He also said, “We’d like to introduce a project that utilizes actual data in cooperation with farmers,” and “design a customized learning program for participants by subdividing the curriculum into beginner, intermediate, and advanced in order that learners of varied levels can participate.”
On the opposite side, “there may be a have to strengthen AI ethics and data protection education and educate on ethical AI use considering the sensitivity of agricultural data” and “practice related to data security and private information protection may also be included.”
Issues to notice include “the necessity for a plan to resolve digital accessibility problems in rural areas throughout the means of introducing smart agriculture” and “education content must be designed around cases in order that it might probably be practically utilized in agricultural fields.”
Above all, they commonly ordered, “We must collect feedback from retraining participants and constantly improve the training content and methods by establishing a continuous feedback system.”
This retraining event at Sunchon National University’s Grand ICT Research Center opened up the opportunity of applying AI to smart agriculture and laid the inspiration for innovation within the local agricultural industry.
In the longer term, we’d like sustainable programs that could make practical contributions to the local people through participant-centered, hands-on education and the event of agricultural-specific AI technology. For the successful development of smart agriculture, close cooperation between the Ministry of Education, local governments, and farmers is required.
Reporter Yang Jun-seok kailas21@aitimes.com
