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Research on Innovative Training on Smart Greenhouse Technologies for Economic and Environmental Sustainability

Author

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  • Angeliki Kavga

    (Department of Agricultural Science, University of Patras, 26504 Patras, Greece)

  • Vasileios Thomopoulos

    (Computer Engineering and Informatics Department, University of Patras, 26504 Patras, Greece)

  • Pantelis Barouchas

    (Department of Agricultural Science, University of Patras, 26504 Patras, Greece)

  • Nikolaos Stefanakis

    (School of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, Greece)

  • Aglaia Liopa-Tsakalidi

    (Department of Agricultural Science, University of Patras, 26504 Patras, Greece)

Abstract

Great advancements in technologies such as big data analytics, robots, remote sensing, the Internet of Things, decision support systems and artificial intelligence have transformed the agricultural sector. In the greenhouse sector, these technologies help farmers increase their profits and crop yields while minimizing the production costs, produce in a more environmentally friendly way and mitigate the risks caused by climate change. In greenhouse farming, especially in the Mediterranean region, a lack of knowledge and qualified personnel able to uptake new knowledge, the small size of farms, etc., make it difficult to implement new technologies. Although it is necessary to demonstrate the advantages of innovations related to sustainable agriculture, there is a little opportunity for specific training on greenhouse production in cutting-edge technologies. To gain insight into this problem, questionnaires for greenhouse farmers and intermediaries were developed in multiple choice format and filled in by the stakeholders. A statistical analysis was performed, and the results are presented in graphical form. In most cases, the findings confirmed that producers who run small farms, in most cases, have a lack of knowledge, especially on how to manage climate control systems or fertigation systems. The majority of farmers were elderly with a low level of education, which makes it difficult to be aware of the training issues, due to distrust and a lack of innovation culture. Therefore, their strategy was usually survival with cost control. However, young graduates have been recently returning to agriculture, and they are open to training activities and innovation. The most desirable training offer should be related to sustainable agriculture and precision agriculture technologies.

Suggested Citation

  • Angeliki Kavga & Vasileios Thomopoulos & Pantelis Barouchas & Nikolaos Stefanakis & Aglaia Liopa-Tsakalidi, 2021. "Research on Innovative Training on Smart Greenhouse Technologies for Economic and Environmental Sustainability," Sustainability, MDPI, vol. 13(19), pages 1-22, September.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:19:p:10536-:d:641163
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    References listed on IDEAS

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    Cited by:

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    2. Yuying Liu & Kaiyao Shi & Ziqi Liu & Ling Qiu & Yan Wang & Hao Liu & Xinhong Fu, 2022. "The Effect of Technical Training Provided by Agricultural Cooperatives on Farmers’ Adoption of Organic Fertilizers in China: Based on the Mediation Role of Ability and Perception," IJERPH, MDPI, vol. 19(21), pages 1-20, November.
    3. Theodoros Petrakis & Angeliki Kavga & Vasileios Thomopoulos & Athanassios A. Argiriou, 2022. "Neural Network Model for Greenhouse Microclimate Predictions," Agriculture, MDPI, vol. 12(6), pages 1-17, May.
    4. Ralph De Witte & Dirk Janssen & Samir Sayadi Gmada & Carmen García-García, 2023. "Best Practices for Training in Sustainable Greenhouse Horticulture," Sustainability, MDPI, vol. 15(7), pages 1-26, March.

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