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

Year 2023, Volume: 3 Issue: 2, 93 - 105, 01.12.2023

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.

Supporting Institution

Keio Research Institute at SFC (Shonan Fujisawa Campus), Keio University, Ministry of Agriculture, Forestry and Fisheries (MAFF) of Japan

Thanks

This research was conducted in collaboration with the Keio Research Institute at SFC (Shonan Fujisawa Campus), Keio University through the "AI System Demonstration Project (2012-2014)" and the "Agricultural IT Intellectual Property Utilization Demonstration Project (2015)" subsidized by the Ministry of Agriculture, Forestry and Fisheries (MAFF) of Japan. We would like to express our deep appreciation to the MAFF, the instructors and members of Japan Agriculture (JA) Fukuoka Yame, Kagawa Prefectural Agricultural Experiment Station Fuchu Fruit Research Institute, JA Kagawa and their members, and everyone else involved for their assistance.

References

  • [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] 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] Ministry of Agriculture, Forestry and Fisheries, 2020 Nourin Gyou Sensasu [2020 Census of Agriculture and Forestry Report], <https://www.maff.go.jp/j/tokei/census/afc/2020/index.html>, see June 13, 2022
  • [4] Shinjo, A. "Nougyou Jouhougaku [Agricultural Informatics]," Jouhou Shori (Information Processing) 2010, 51(6), 635-641
  • [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] 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] Matsumoto, Y., Soshiki to Ginou [Organization and Skills], Tokyo, Hakuto Shobo, 2003
  • [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] 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] 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] 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
Year 2023, Volume: 3 Issue: 2, 93 - 105, 01.12.2023

Abstract

References

  • [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] 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] Ministry of Agriculture, Forestry and Fisheries, 2020 Nourin Gyou Sensasu [2020 Census of Agriculture and Forestry Report], <https://www.maff.go.jp/j/tokei/census/afc/2020/index.html>, see June 13, 2022
  • [4] Shinjo, A. "Nougyou Jouhougaku [Agricultural Informatics]," Jouhou Shori (Information Processing) 2010, 51(6), 635-641
  • [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] 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] Matsumoto, Y., Soshiki to Ginou [Organization and Skills], Tokyo, Hakuto Shobo, 2003
  • [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] 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] 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] 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
There are 11 citations in total.

Details

Primary Language English
Subjects Computing Applications in Social Sciences and Education, Computer Software
Journal Section Research Articles
Authors

Dai Kusui 0000-0001-6246-1003

Hideo Shimazu This is me 0000-0001-9846-2868

Atsushi Shinjo 0000-0002-0814-5330

Early Pub Date September 20, 2023
Publication Date December 1, 2023
Acceptance Date August 31, 2023
Published in Issue Year 2023 Volume: 3 Issue: 2

Cite

Vancouver Kusui D, Shimazu H, Shinjo A. A Web-based training method of agricultural skills for temporary workers. Computers and Informatics. 2023;3(2):93-105.