Using Ritx Soil Technology and Weather Sensors to Increase Rice Production: How Farmers Adopt Innovation?
DOI:
https://doi.org/10.32663/ja.v21i2.4179Keywords:
adoption of innovation, ritx soil and weather sensor, rice production improvement, technology applicationAbstract
In certain locations of Indonesia, Ritx Soil and Weather Sensor technology has been used in the agriculture industry. However, scientific reports on farmer technology uptake are not publicly available for scientific and policymaking purposes. As a result, this study was conducted to give scientific data on the acceptance of farmer technological advancements. This exercise was conducted in Cikembulan Village, Garut Regency, with 56 participants. According to the report, only 41% of respondents used technology. Cosmopolitanism, farmer motivation, farmer presence, self-efficacy, the function of extension personnel, frequency of extension, education, and farm experience are the elements of innovation adoption explored. Only farm experience has a favorable impact on the uptake of farmer innovations. Finally, there must be a significant push, particularly from the non-profit organizations and the government.
References
Amirova, E. F., Voronkova, O. Y., Zakirova, N. R., Stepanenko, O. G., Doguchaeva, S. M., & Murzagalina, G. M. (2019). Internet of things as a tool for development of Russia’s digital economy. International Journal of Mechanical Engineering and Technology, 10 (2), 1011–1019.
Arif, C., Nugroho, B. D. A., Maftukha, R., Suryandika, F., Hapsari, U., Nihayah, B., Naititi, N., & Sain, R. I. A. (2021). Performance of agro-environmental monitoring for optimum water and crop management: A case study for East Nusa Tenggara, Indonesia. IOP Conference Series: Earth and Environmental Science, 871(1), 12032.
Bacco, M., Barsocchi, P., Ferro, E., Gotta, A., & Ruggeri, M. (2019). The Digitisation of Agriculture: a Survey of Research Activities on Smart Farming. Array, 3-4 (October), 100009. https://doi.org/10.1016/j.array.2019.100009
Bacco, M., Berton, A., Ferro, E., Gennaro, C., Gotta, A., Matteoli, S., Paonessa, F., Ruggeri, M., Virone, G., & Zanella, A. (2018). Smart farming: Opportunities, challenges and technology enablers. 2018 IoT Vertical and Topical Summit on Agriculture-Tuscany (IOT Tuscany), 1–6. https://doi.org/10.1109/IOT-TUSCANY. 2018. 8373043
Balasubramaniyan, M., & Navaneethan, C. (2021). Applications of Internet of Things for smart farming-A survey. Materials Today: Proceedings, 47, 18–24. https://doi.org/10.1016/j. matpr. 2021. 03. 480
Benjafield, A. V, Eastwood, P. R., Heinzer, R., Morrell, M. J., Federal, U., Paulo, D. S., Paulo, S., & Valentine, K. (2020). Sleep Apnoea : a Literature-Based Analysis. Lancet Respir Med, 7 (8), 687–698. https://doi.org/10.1016/S2213-2600 (19) 30198-5.Estimation
Bhagat, M., Kumar, D., & Kumar, D. (2019). Role of Internet of Things (IoT) in smart farming: A brief survey. 2019 Devices for Integrated Circuit (DevIC), 141–145.
Charania, I., & Li, X. (2020). Smart farming: Agriculture’s shift from a labor intensive to technology native industry. Internet of Things, 9, 100142.
Chuang, J. H., Wang, J. H., & Liou, Y. C. (2020). Farmers’ knowledge, attitude, and adoption of smart agriculture technology in Taiwan. International Journal of Environmental Research and Public Health, 17(19), 1–8. https://doi.org/10.3390/ijerph17197236
Fadeyi, O. A., Ariyawardana, A., & Aziz, A. A. (2022). Factors influencing technology adoption among smallholder farmers: a systematic review in Africa. Journal of Agriculture and Rural Development in the Tropics and Subtropics, 123(1), 13–30. https://doi.org/10.17170/kobra-202201195569
Farooq, M. S., Riaz, S., Abid, A., Abid, K., & Naeem, M. A. (2019). A Survey on the Role of IoT in Agriculture for the Implementation of Smart Farming. IEEE Access, 7, 156237–156271. https://doi.org/10.1109/ACCESS.2019.2949703
Gerli, P., Clement, J., Esposito, G., Mora, L., & Crutzen, N. (2022). The hidden power of emotions: How psychological factors influence skill development in smart technology adoption. Technological Forecasting and Social Change, 180, 121721. https://doi.org/https://doi.org/10.1016/j.techfore.2022.121721
Gupta, M., Abdelsalam, M., Khorsandroo, S., & Mittal, S. (2020). Security and Privacy in Smart Farming: Challenges and Opportunities. IEEE Access, 8, 34564–34584. https://doi.org/10.1109/ACCESS.2020.2975142
Haryanto, Y., Pengkajian, B., Pertanian, T., Timur, J., Pembangunan, P., & Bogor, P. (2020). Tingkat adopsi inovasi pengelolaan tanaman terpadu padi sawah 1. 1(2), 111–122.
Hu, B., Zheng, Q., Wu, J., Tang, Z., Zhu, J., Wu, S., & Ling, Y. (2021). Role of Education and Mentorship in Entrepreneurial Behavior: Mediating Role of Self-Efficacy. Frontiers in Psychology, 12 (November), 1–12. https://doi.org/10.3389/fpsyg.2021.775227
Idoje, G., Dagiuklas, T., & Iqbal, M. (2021). Survey for smart farming technologies: Challenges and issues. Computers and Electrical Engineering, 92 (February 2020), 107104. https://doi.org/10.1016/j.compeleceng.2021.107104
Jerhamre, E., Carlberg, C. J. C., & van Zoest, V. (2022). Exploring the susceptibility of smart farming: Identified opportunities and challenges. Smart Agricultural Technology, 2(August 2021), 100026. https://doi.org/10.1016/j.atech.2021.100026
Jithin Das, V., Sharma, S., & Kaushik, A. (2019). Views of Irish Farmers on Smart Farming Technologies: An Observational Study. AgriEngineering, 1(2), 164–187. https://doi.org/10.3390/agriengineering1020013
Katara, S. K. (2016). Envisioning Smart Villages Through Information and Communication Technologies–A Framework for Implementation in India. 463–468. https://doi.org/10.1007/978-3-319-49700-6
Kaushik, I., Prakash, N., & Jain, A. (2021). Integration of Blockchain& IoT in Precision Farming: Exploration, Scope and Security Challenges. 2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 854–859.
Kembar, M., Budhi, S., & Yuliarmi, N. N. (2016). Pengaruh Karakteristik Petani dan Peran Pendamping terhadap Keberhasilan SIMANTRI di Kabupaten Bandung . E-Jurnal Ekonomi dan Bisnis Universitas Udayana 689–720.
Kernecker, M., Knierim, A., Wurbs, A., Kraus, T., & Borges, F. (2020). Experience versus expectation: farmers’ perceptions of smart farming technologies for cropping systems across Europe. Precision Agriculture, 21(1), 34–50. https://doi.org/10.1007/s11119-019-09651-z
Khatri-chhetri, A., Pant, A., Aggarwal, P. K., & Vardhan, V. (2019). Stakeholders prioritization of climate-smart agriculture interventions : Evaluation of a framework. Agricultural Systems, 174 (February), 23–31. https://doi.org/10.1016/j.agsy.2019.03.002
Klerkx, L., Jakku, E., & Labarthe, P. (2019). A review of social science on digital agriculture, smart farming and agriculture 4.0: New contributions and a future research agenda. NJAS - Wageningen Journal of Life Sciences, 90-91 (October), 100315. https://doi.org/10.1016/j.njas.2019.100315
Knierim, A., Borges, F., Lee Kernecker, M., Kraus, T., & Wurbs, A. (2018). What drives adoption of smart farming technologies? Evidence from a cross-country study. European IFSA Symposium, July, 14.
Knierim, A., Kernecker, M., Erdle, K., Kraus, T., Borges, F., & Wurbs, A. (2019). Smart farming technology innovations – Insights and reflections from the German Smart-AKIS hub. NJAS - Wageningen Journal of Life Sciences, 90-91 (November 2018), 100314. https://doi.org/10.1016/j.njas.2019.100314
Long, T. B., Blok, V., & Coninx, I. (2016). Barriers to the adoption and diffusion of technological innovations for climate-smart agriculture in Europe: Evidence from the Netherlands, France, Switzerland and Italy. Journal of Cleaner Production, 112, 9–21. https://doi.org/10.1016/j.jclepro.2015.06.044
Marphy, T. M., & Priminingtyas, D. N. (2019). Analisis Faktor-Faktor yang Mempengaruhi Tingkat Partisipasi Petani Dalam Program Asuransi Usahatani Padi (AUTP) di Desa Watugede, Kecamatan Singosari, Kabupaten Malang. 30 (2), 62–70. https://doi.org/10.21776/ub. habitat. 2019. 030. 2. 8
Mereu, V., Santini, M., Cervigni, R., Augeard, B., Bosello, F., Scoccimarro, E., Spano, D., & Valentini, R. (2018). Robust decision making for a climate-resilient development of the agricultural sector in Nigeria. In Natural Resource Management and Policy (Vol. 52). https://doi.org/10.1007/978-3-319-61194-5_13
Montoya-Munoz, A. I., & Rendon, O. M. C. (2020). An approach based on fog computing for providing reliability in iot data collection: A case study in a colombian coffee smart farm. Applied Sciences (Switzerland), 10 (24), 1–16. https://doi.org/10.3390/app10248904
Muzaqi, A. H., & Tyasotyaningarum, B. (2022). Village Community Empowerment Model in Smart Village Perspective (Study on Village Communities in Jombang Regency) Model Pemberdayaan Masyarakat Desa Dalam Perspektif Smart Village (Studi Pada Masyarakat Desa di Kabupaten Jombang). 10 (1), 42–53. https://doi.org/10.21070/jkmp.v10i1.1683
Nugrahadi, B., Sutopo, W., & Hisjam, M. (2020). Technopreneurship & Innovation System: A Comparative Study Analysis for E-Trike Development in Indonesia. ACM International Conference Proceeding Series, 1251–1262. https://doi.org/10.1145/3429789. 3429805
Nugroho, B. D. A., & Aliwarga, H. K. (2019). RiTx; Integrating among Field Monitoring System (FMS), Internet of Things (IOT) and agriculture for precision agriculture. IOP Conference Series: Earth and Environmental Science, 335 (1). https://doi.org/10.1088/1755-1315/335/1/012022
O’Shaughnessy, S. A., Kim, M., Lee, S., Kim, Y., Kim, H., & Shekailo, J. (2021). Towards smart farming solutions in the U.S. and South Korea: A comparison of the current status. Geography and Sustainability, 2 (4), 312–327. https://doi.org/10.1016/j.geosus.2021.12.002
Ogunyiola, A., Gardezi, M., & Vij, S. (2022). Smallholder farmers ’ engagement with climate smart agriculture in Africa : role of local knowledge and upscaling. https://doi.org/10.1080/14693062.2021.2023451
Okori, P., Munthali, W., Msere, H., Charlie, H., Chitaya, S., Sichali, F., Chilumpha, E., Chirwa, T., Seetha, A., Chinyamuyamu, B., Monyo, E., Siambi, M., & Chirwa, R. (2022). Improving efficiency of knowledge and technology diffusion using community seed banks and farmer ? to ? farmer extension : experiences from Malawi. Agriculture & Food Security, 1–14. https://doi.org/10.1186/s40066-022-00375-4
Park, J., & Lee, S. (2019). Smart Village Projects in Korea: Rural Tourism, 6th Industrialization, and Smart Farming. In Smart Villages in the EU and Beyond (pp. 139–153). Emerald Publishing Limited.
Handika, I D S., & Sulistiawati, S., (2021). Penggunaan dan Pemanfaatan Internet untuk Pertanian dan Perannya terhadap Tingkat The Uses and Utilization of Internet for Agriculture and Their Role of Rate. 05(02).
Phuensane, P., Jaroenwanit, P., & Hongthong, P. (2022). Influence of Demographic Characteristics and Extrinsic Motivations on Farmers’ Smart Farming Adoption in Northeastern Thailand. GMSARN International Journal, 16, 359–365.
Pivoto, D., Barham, B., Waquil, P. D., Foguesatto, C. R., Corte, V. F. D., Zhang, D., & Talamini, E. (2019). Factors influencing the adoption of smart farming by Brazilian grain farmers. International Food and Agribusiness Management Review, 22(4), 571–588. https://doi.org/10.22434/IFAMR2018.0086
Pivoto, D., Waquil, P. D., Talamini, E., Finocchio, C. P. S., Dalla Corte, V. F., & de Vargas Mores, G. (2018). Scientific development of smart farming technologies and their application in Brazil. Information Processing in Agriculture, 5 (1), 21–32. https://doi.org/10.1016/j.inpa.2017.12. 002
Raghuvanshi, A., Singh, U. K., Sajja, G. S., Pallathadka, H., Asenso, E., Kamal, M., Singh, A., & Phasinam, K. (2022). Intrusion Detection Using Machine Learning for Risk Mitigation in IoT-Enabled Smart Irrigation in Smart Farming. Journal of Food Quality, 2022. https://doi.org/10.1155/2022/3955514
Relf-Eckstein, J. E., Ballantyne, A. T., & Phillips, P. W. B. (2019). Farming Reimagined: A case study of autonomous farm equipment and creating an innovation opportunity space for broadacre smart farming. NJAS - Wageningen Journal of Life Sciences, 90-91 (December 2018), 100307. https://doi.org/10.1016/j.njas.2019.100307
Ryu, M., Yun, J., Miao, T., Ahn, I. Y., Choi, S. C., & Kim, J. (2015). Design and implementation of a connected farm for smart farming system. 2015 IEEE SENSORS - Proceedings, November. https://doi.org/10.1109/ICSENS.2015.7370624
Saiz-Rubio, V., & Rovira-Más, F. (2020). From smart farming towards agriculture 5.0: A review on crop data management. Agronomy, 10 (2), 207.
Sardar, A., Kiani, A. K., & Kuslu, Y. (2019). An assessment of willingness for adoption of climate-smart agriculture (Csa) practices through the farmers’ adaptive capacity determinants. Yuzuncu Yil University Journal of Agricultural Sciences, 29 (4), 781–791. https://doi.org/10.29133/yyutbd. 631375
Sarri, D., Lombardo, S., Pagliai, A., Perna, C., Lisci, R., De Pascale, V., Rimediotti, M., Cencini, G., & Vieri, M. (2020). Smart farming introduction in wine farms: A systematic review and a new proposal. Sustainability (Switzerland), 12 (17). https://doi.org/10.3390/su12177191
Shames, S., Heiner, K., Kapukha, M., Kiguli, L., Masiga, M., Kalunda, P. N., Ssempala, A., Recha, J., & Wekesa, A. (2016). Building local institutional capacity to implement agricultural carbon projects : participatory action research with Vi Agroforestry in Kenya and ECOTRUST in Uganda. Agriculture & Food Security, 1–15. https://doi.org/10.1186/s40066-016-0060-x
Sharma, A., Jain, A., Gupta, P., & Chowdary, V. (2021). Machine Learning Applications for Precision Agriculture: A Comprehensive Review. IEEE Access, 9, 4843–4873. https://doi.org/10.1109/ACCESS. 2020. 3048415
Webster, J. M., Chen GenHui, C. G., Hu KaiJi, H. K., & Li JianXiong, L. J. (2009). Bacterial metabolites. In Entomopathogenic nematology. https://doi.org/10.1079/9780851995670.0099
Wuepper, D., & Sauer, J. (2016). Explaining the performance of contract farming in Ghana: The role of self-efficacy and social capital. Food Policy, 62 (January), 11–27. https://doi.org/10.1016/j. foodpol. 2016. 05. 003
Yamoah, F. A., Kaba, J. S., & Adolf, J. A. (2020). Stakeholder Collaboration in Climate-Smart Agricultural Production Innovations : Insights from the Cocoa Industry in Ghana. Environmental Management. https://doi.org/10.1007/s00267-020-01327-z
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