Smart Agriculture Training to Increase Fish Productivity in Padamulya Ciamis Village, West Java, Indonesia

Aceng Sambas; Gugun Gundara; Sundarapandian Vaidyanatahan; Aan Andriana

doi:10.46336/ijrcs.v3i3.331

Smart Agriculture Training to Increase Fish Productivity in Padamulya Ciamis Village, West Java, Indonesia

Aceng Sambas, Gugun Gundara, Sundarapandian Vaidyanatahan, Aan Andriana

Abstract

The main problem of Padamulya Village is the lack of a technology utilization system in the field of fisheries. Fish farming systems still use conventional, so that monitoring of fish quality is limited in time and place. The main purpose of this service is to provide knowledge to the community related to smart agriculture technology in the fisheries sector in Padamulya Village to increase quality fish production. The training activity was held on December 10, 2019 in the Hall of the Muhammadiyah University of Tasikmalaya. The results of this service show that the community is starting to have knowledge and provide land to make ponds with smart agriculture technology.

Keywords

Internet of Thing, Smart agriculture, community services

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References

Ahmed, O. O., & Solomon, O. O. (2016). Climate smart aquaculture: a sustainable approach to increasing fish production in the face of climate change in Nigeria. International Journal of Aquaculture and Fishery Sciences, 2(1), 012-017.

Awan, S. H., Ahmed, S., Safwan, N., Najam, Z., Hashim, M. Z., & Safdar, T. (2019). Role of internet of things (IoT) with blockchain technology for the development of smart farming. Journal of Mechanics of Continua and Mathematical Sciences, 14(5), 170-188.

Balakrishnan, S., Rani, S. S., & Ramya, K. C. (2019). Design and development of IoT based smart aquaculture system in a cloud environment. International Journal of Oceans and Oceanography, 13(1), 121-127.

Boursianis, A. D., Papadopoulou, M. S., Diamantoulakis, P., Liopa-Tsakalidi, A., Barouchas, P., Salahas, G., ... & Goudos, S. K. (2022). Internet of things (IoT) and agricultural unmanned aerial vehicles (UAVs) in smart farming: A comprehensive review. Internet of Things, 18, 100187.

Castañeda-Miranda, A., & Castaño-Meneses, V. M. (2020). Internet of things for smart farming and frost intelligent control in greenhouses. Computers and Electronics in Agriculture, 176, 105614.

Dadi, D. (2020). Leuwikeris Agricultural Development In Supporting The Development Of Ecological Agriculture In Ciamis District. Enrichment: Journal of Management, 11(1), 218-222.

Debauche, O., Trani, J. P., Mahmoudi, S., Manneback, P., Bindelle, J., Mahmoudi, S. A., ... & Lebeau, F. (2021). Data management and internet of things: A methodological review in smart farming. Internet of Things, 14, 100378.

Hani, A., Fauziyah, E., Widyaningsih, T. S., & Kuswantoro, D. P. (2018). Potency and Agroforestry Patterns that Support Bamboo Sustainability in Sukaharja Village, Ciamis District. Jurnal Wasian, 5(2), 115-125.

Islam, N., Rashid, M. M., Pasandideh, F., Ray, B., Moore, S., & Kadel, R. (2021). A review of applications and communication technologies for internet of things (Iot) and unmanned aerial vehicle (uav) based sustainable smart farming. Sustainability, 13(4), 1821.

Isyanto, A. Y., Sudrajat, S., & Yusuf, M. N. (2021). Determinants of technical in-efficiencies in swamp rice farming-Ciamis district, Indonesia. In E3S Web of Conferences, 226, 00005.

Jayaraman, P. P., Yavari, A., Georgakopoulos, D., Morshed, A., & Zaslavsky, A. (2016). Internet of things platform for smart farming: Experiences and lessons learnt. Sensors, 16(11), 1884.

Maemunah, I. (2021). Implementation of Cleanliness, Health and Environmental Sustainability guidelines in restaurants around the Southern Java crossing route in Ciamis Regency. Budapest International Research and Critics Institute (BIRCI-Journal): Humanities and Social Sciences, 4(2), 2635-2642.

Pasaribu, S. M., Sayaka, B., de Braw, A., Suhartini, S. H., & Dabukke, F. B. M. (2021). Agricultural value chain financing: a case study in Ciamis District, West Java Province. In IOP Conference Series: Earth and Environmental Science 892(1), 012095.

Patria, L., & Sambas, A. (2021). Image Processing Technology for Edge Detection Based on Vision and Raspberry Pi. In IOP Conference Series: Materials Science and Engineering, 1115(1), 012044.

Ronaghi, M. H., & Forouharfar, A. (2020). A contextualized study of the usage of the Internet of things (IoTs) in smart farming in a typical Middle Eastern country within the context of Unified Theory of Acceptance and Use of Technology model (UTAUT). Technology in Society, 63, 101415.

Rostika, R. (2014). The reduction feed on shrimp vaname (Litopenaues vannamae) replaced by the addition biofloc in Ciamis District. Research Journal of Biotechnology, 9(2), 56-59.

Ula, S., Susilo, S., Listijorini, E., Irawan, R., Sambas, A., & Assidiq, A. T. (2021). Spraying Agricultural Crops Based on Internet of Things (IoT). FLYWHEEL: Jurnal Teknik Mesin Untirta, 7(2), 20-25.

Verma, S. K., Rajesh, M., & Vincent, R. (2020). Smart-farming using internet of things. Journal of Computational and Theoretical Nanoscience, 17(1), 172-176.

Zhang, M., Wang, X., Feng, H., Huang, Q., Xiao, X., & Zhang, X. (2021). Wearable Internet of Things enabled precision livestock farming in smart farms: A review of technical solutions for precise perception, biocompatibility, and sustainability monitoring. Journal of Cleaner Production, 312, 127712.

Zougmoré, R., Partey, S., Ouédraogo, M., Omitoyin, B., Thomas, T., Ayantunde, A., ... & Jalloh, A. (2016). Toward climate-smart agriculture in West Africa: a review of climate change impacts, adaptation strategies and policy developments for the livestock, fishery and crop production sectors. Agriculture & Food Security, 5(1), 1-16.

DOI: https://doi.org/10.46336/ijrcs.v3i3.331