A Web-based training method of agricultural skills for temporary workers

Abstract

We propose a Rapid Agri-InfoScience (RAIS) learning model that has been adapted to the situation of teaching temporary workers. This learning model is a model by which workers can learn how to make the decisions necessary to execute tasks by narrowing down the number of tasks and further limiting the target area to a single crop at a particular time and place. By restricting the number of factors needed to judge and work the crop at one location at a particular time, instructors can create exercises that are suitable for the situation at that time. Because the system implemented the model creates exercises based on images, the exercises can easily be adapted to different languages. This feature will lead to the realization of computer-aided instruction (CAI) that eliminates the language barrier and makes it easier to accept foreign human resources. The system is characterized by not only enabling temporary workers to learn on the farm but also enabling instructors to create exercises on the farm when necessary. Using this system, experiments confirmed that instructors can create the exercises by which temporary workers can improve the quality of their work, as confirmed by instructors visually evaluating the quality of the work.

Keywords

• Agricultural work skills
• E-learning
• Temporary worker
• Training method
• Web-based learning

References

1. [1] Shinjo, A., IT to Jukurennouka no Waza de Kasegu AI Nougyou [AI Agriculture to Earn Money with IT and Skilled Farmers' Techniques], Tokyo, Nikkei BP, 2017
2. [2] Kikusawa, M., & Yamakawa, O. E-Learning - Nougyousya Kyouiku he no Kanousei [E-Learning—Does it Work for Farmers' Education?], Agricultural Information Research 2003, 12(4), 347-350, DOI: 10.3173/air.12.347
3. [3] Ministry of Agriculture, Forestry and Fisheries, 2020 Nourin Gyou Sensasu [2020 Census of Agriculture and Forestry Report], , see June 13, 2022
4. [4] Shinjo, A. "Nougyou Jouhougaku [Agricultural Informatics]," Jouhou Shori (Information Processing) 2010, 51(6), 635-641
5. [5] Shinjo, A., & Kudo, M. Nougyou Bunya ni Okeru IT Katsuyou: Kou Huka Kachi Ka ni Tsunagaru Torikumi [The Practical Use of IT in Agriculture: The Movement into High-value-added Crops and Integrated Solutions], The Journal of the Institute of Electronics, Information and Communication Engineers 2013, 96 (4), 280-285
6. [6] Yamamoto, J., Nousagyou ni Okeru Chishiki, Ginou no Tokushitsu to Keisyou Houhou [Characteristics of knowledge and skills in agricultural work and how to transmit them], Nougyou kikai gakkaishi 2011, 73(5), 276-280, DOI: 10.11357/jsam.73.276
7. [7] Matsumoto, Y., Soshiki to Ginou [Organization and Skills], Tokyo, Hakuto Shobo, 2003
8. [8] Nakayama, Y., Chishiki Keisyou no Shikumi Zukuri [Methods for Knowledge Transfer], Journal of Japanese Society for Artificial Intelligence 2007, 22(4), 467-471, https://doi.org/10.11517/jjsai.22.4_467

9. [9] Arai, G., & Shirakawa, K. Densho no Tame no Ginou Meikakuka Tetsuzuki ni Tsuite: Kison Ginou Bunseki Shuhou no Ketsuraku Shiten Kara no Kentou [The Study on Objectivity of the SKILL: The Point of View from the Systematized Technique of the Digitization of the SKILL], Bulletin of Japan Society for the Study of Vocational and Technical Education 2005, 35(2), 1-8, https://doi.org/10.24485/jssvte.35.2_1
10. [10] Shinjo, A., Kusui, D., Kudo, M., Ono, Y., Numano, N., Kamiya, T., & Shimazu, H. AI (Agri-Informatics) ni Motozuku Gakushuu Shien Shisutemu no Kenkyuu Kaihatsu [Development of Learning Support System for Agriculture Based on Agri-Informatics], Journal of Artificial Intelligence 2015, 30(2), 174-181, DOI: 10.11517/jjsai.30.2_174
11. [11] Alanis, V.M., Recker, W., Ospina, P.A., Heuwieser. W., & Virkler. PD. Dairy farm worker milking equipment training with an E-learning system, Animal Nutrition and Farm Systems Short Communication Short Communication, 2022, 3(5), 322-327, https://doi.org/10.3168/jdsc.2022-0217