Website-Based Rice Harvest Data Collection Information System
Keywords:
Agricultural, Website-Based, Information System, farmers
Abstract
The purpose of this research is to help agricultural institutions get accurate crop statistics and make it easier for farmers to submit crop data. That way farmers do not need to come directly to send their harvest data. The method used in this research is the descriptive method, by reading from various available journals. The results of this study are expected to increase the effectiveness in the delivery of crop data. With this website, the delivery of harvest data from farmers to agricultural institutions will run quickly to shorten the time. In addition, it is hoped that this website can produce precise and accurate data, to be able to answer the availability of rice and indications of a decrease or increase in the number of harvests.
References
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[2] Fountas, S., Carli, G., Sørensen, C. G., Tsiropoulos, Z., Cavalaris, C., Vatsanidou, A., ... & Tisserye, B. (2015). Farm management information systems: Current situation and future perspectives. Computers and electronics in agriculture, 115, 40-50.
[3] Sinnarong, N., Panyadee, C., & Aiikulolac, O. I. (2019). The Impact of Climate Change on Agriculture and Suitable Agro-Adaptation in Phufa Sub-District, Nan Province, Thailand. Journal of Community Development Research (Humanities and Social Sciences), 12(3), 47-60.
[4] Köksal, Ö., & Tekinerdogan, B. (2019). Architecture design approach for IoT-based farm management information systems. Precision Agriculture, 20, 926-958.
[5] Rodríguez, S., Gualotuña, T., & Grilo, C. (2017). A system for the monitoring and predicting of data in precision agriculture in a rose greenhouse based on wireless sensor networks. Procedia computer science, 121, 306-313.
[6] Visconti, P., Giannoccaro, N. I., de Fazio, R., Strazzella, S., & Cafagna, D. (2020). IoT-oriented software platform applied to sensors-based farming facility with smartphone farmer app. Bulletin of Electrical Engineering and Informatics, 9(3), 1095-1105.
[7] Rastogi, V. (2015). Software development life cycle models-comparison, consequences. International Journal of Computer Science and Information Technologies, 6(1), 168-172.
[8] Okesola, O. J., Adebiyi, A. A., Owoade, A. A., Adeaga, O., Adeyemi, O., & Odun-Ayo, I. (2020). Software Requirement in Iterative SDLC Model. In Intelligent Algorithms in Software Engineering: Proceedings of the 9th Computer Science On-line Conference 2020, Volume 1 9 (pp. 26-34). Springer International Publishing.
[9] Smoluk-Sikorska, J., Malinowski, M., & Łuczka, W. (2020). Identification of the conditions for organic agriculture development in polish districts—An implementation of canonical analysis. Agriculture, 10(11), 514.
[10] Walters, S. A., & Stoelzle Midden, K. (2018). Sustainability of urban agriculture: Vegetable production on green roofs. Agriculture, 8(11), 168.
Published
2023-06-15
How to Cite
Azza, D., Wicaksono, K., & Chandra, D. (2023). Website-Based Rice Harvest Data Collection Information System. International Journal of Research and Applied Technology (INJURATECH), 3(1), 97-106. https://doi.org/10.34010/injuratech.v3i1.9962
Section
Articles
