Technological Support for Precision Agriculture in Angola: A Systematic Literature Review
DOI:
https://doi.org/10.54580/R0801.16Keywords:
Precision agriculture, IoT, LoRa/LoRaWAN, FIWARE, AngolaAbstract
The Angolan green ecosystem presents significant potential to ensure adequate living conditions in the face of growing food demand and the challenges imposed by climate change. However, there remains a need for precision infrastructures capable of increasing agricultural productivity while reducing costs and the waste of strategic resources. This study aims to present the technological landscape available to address these challenges and to analyse the level of implementation of the precision agriculture paradigm in Angola, as documented in the international literature. The adopted methodology corresponds to a systematic review conducted according to PRISMA recommendations, based on data published in indexed scientific journals between December 2022 and March 2023. The study provides, in Portuguese, a qualitative and interpretative review of literature predominantly written in English and discusses advanced IoT technologies applied to the green ecosystem. The results reveal an increasing global shift towards precision agriculture, characterized by high-performance, relatively low-cost solutions that are easy for farmers to operate. Nevertheless, a scarcity of studies applied to the Angolan context was identified. Considering initiatives such as the Strategic Food Reserve, PLANAGRÃO and PRODESI, the study highlights research opportunities to bridge the national agri-digital technological gap and strengthen food resilience.
Downloads
References
Alobaidy, H. A. H., Nordin, R., Singh, M. J., Abdullah, N. F., Haniz, A., Ishizu, K., Matsumura, T., Kojima, F., & Ramli, N. (2022). Low-altitude-platform-based airborne IoT network (LAP-AIN) for water quality monitoring in harsh tropical environment. IEEE Internet of Things Journal, 9(20), 20034–20054. https://doi.org/10.1109/JIOT.2022.3171294
Cicioğlu, M., & Çalhan, A. (2021). Smart agriculture with internet of things in cornfields. Computers and Electrical Engineering, 90, 106982. https://doi.org/10.1016/j.compeleceng.2021.106982
Food and Agriculture Organization of the United Nations (2018). The future of food and agriculture: Alternative pathways to 2050. Disponível em: https://openknowledge.fao.org/server/api/core/bitstreams/e51e0cf0-4ece-428c-8227-ff6c51b06b16/content .
Franco, J. D., Ramirez-del Real, T. A., Villanueva, D., Gárate-García, A., & Armenta-Medina, D. (2020). Monitoring of Ocimum basilicum seeds growth with image processing and fuzzy logic techniques based on Cloudino-IoT and FIWARE platforms. Computers and Electronics in Agriculture, 173, 105389. https://doi.org/10.1016/j.compag.2020.105389
Heideker, A., Ottolini, D., Zyrianoff, I., Neto, A. T., Salmon Cinotti, T., & Kamienski, C. (2020). IoT-based measurement for smart agriculture. In 2020 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor) (pp. 68–72). IEEE. https://doi.org/10.1109/MetroAgriFor50201.2020.9277546
Hernandez, D. L., Arias, J., Villanueva, D., Gutierrez, S., & Zavaleta, I. (2021). IoT system prototype based on LoRa and the Orion Context Broker data model of FIWARE. In 2021 23rd IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC). IEEE. https://doi.org/10.1109/ROPEC53248.2021.9668028
Jabbar, W. A., Subramaniam, T., Ong, A. E., Shu’Ib, M. I., Wu, W., & de Oliveira, M. A. (2022). LoRaWAN-based IoT system implementation for long-range outdoor air quality monitoring. Internet of Things, 19, 100540. https://doi.org/10.1016/j.iot.2022.100540
Governo de Angola (2023). Plano de Desenvolvimento Nacional 2023/2027. Imprensa Nacional. https://faolex.fao.org/docs/pdf/ang223061.pdf
Jani, K. A., & Chaubey, N. K. (2022). A novel model for optimization of resource utilization in smart agriculture system using IoT (SMAIoT). IEEE Internet of Things Journal, 9(13), 11275–11282. https://doi.org/10.1109/JIOT.2021.3128161
Koteish, K., Harb, H., Dbouk, M., Zaki, C., & Abou Jaoude, C. (2022). AGRO: A smart sensing and decision-making mechanism for real-time agriculture monitoring. Journal of King Saud University – Computer and Information Sciences, 34(9), 7059–7069. https://doi.org/10.1016/j.jksuci.2022.06.017
Mateos Matilla, D., Lozano Murciego, Á., Jiménez-Bravo, D. M., Sales Mendes, A., & Leithardt, V. R. Q. (2022). Low-cost edge computing devices and novel user interfaces for monitoring pivot irrigation systems based on Internet of Things and LoRaWAN technologies. Biosystems Engineering, 223(part B) 14–29. https://doi.org/10.1016/j.biosystemseng.2021.07.010
Munoz, M., Guzman, J. L., Sanchez-Molina, J. A., Rodriguez, F., Torres, M., & Berenguel, M. (2022). A new IoT-based platform for greenhouse crop production. IEEE Internet of Things Journal, 9(9), 6325–6334. https://doi.org/10.1109/JIOT.2020.2996081
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. The BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
Poyen, F. B., Ghosh, A., Kundu, P., Hazra, S., & Sengupta, N. (2021). Prototype model design of automatic irrigation controller. IEEE Transactions on Instrumentation and Measurement, 70, 3031760. https://doi.org/10.1109/TIM.2020.3031760
Ramson, S. R. J., Leon-Salas, W. D., Brecheisen, Z., Foster, E. J., Johnston, C. T., Schulze, D. G., Filley, T., Rahimi, R., Soto, M. J. C. V., Bolivar, J. A. L., & Malaga, M. P. (2021). A self-powered, real-time, LoRaWAN IoT-based soil health monitoring system. IEEE Internet of Things Journal, 8(11), 9278–9293. https://doi.org/10.1109/JIOT.2021.3056586
Roy, S. K., Misra, S., Raghuwanshi, N. S., & Das, S. K. (2021). AgriSens: IoT-based dynamic irrigation scheduling system for water management of irrigated crops. IEEE Internet of Things Journal, 8(6), 5023–5030. https://doi.org/10.1109/JIOT.2020.3036126
República de Angola. Conselho de Ministros. (2019). Decreto Executivo Conjunto n.º 208/19, de 9 de Agosto. Regulamento da Reserva Estratégica Alimentar. Imprensa Nacional. Disponível em: https://faolex.fao.org/docs/pdf/ang188843.pdf
República de Angola. Conselho de Ministros. (2022). Decreto Presidencial n.º 200/22, de 23 de Julho. Aprova o Plano Nacional de Fomento para a Produção de Grãos. Imprensa Nacional. Disponível em: https://plataformacipra.gov.ao/public/ficheiros/arquivos/Gov_AngolaDecreto%20Presidencial441312221233401670931220.pdf
República de Angola. Conselho de Ministros. (2018). Decreto Presidencial n.º 169/18, de 20 de Julho. Aprova o Programa de Apoio à Produção, Diversificação das Exportações e Substituição de Importações (PRODESI). Imprensa Nacional. Disponível em: https://files.lex.ao/presidente-da-republica/2018/decreto-presidencial-n-o-169-18-de-20-de-julho/download/decreto-presidencial-n-o-169-18-de-20-de-julho_presidente-da-republica_lex-ao.pdf
Ruiz-Ortega, J., Martínez-Rebollar, A., Flores-Prieto, J., & Estrada-Esquivel, H. (2022). Design on a low-cost IoT architecture for greenhouses monitoring. Computación y Sistemas, 26(1), 221–232. https://doi.org/10.13053/CyS-26-1-4166
Sanchez, O. T., Fernandes, J. M., Rodrigues, A., Silva, J. S., Boavida, F., Rivadeneira, J. E., de Lemos, A. V., & Raposo, D. (2022). Green Bear: A LoRaWAN-based human-in-the-loop case study for sustainable cities. Pervasive and Mobile Computing, 87, 101701. https://doi.org/10.1016/j.pmcj.2022.101701
Welborn, L., Cilliers, J, Stellah. K. (2020). Cenários do futuro de Angola 2050: Para além do petróleo (Relatório sobre a África Austral n.º 35). Instituto de Estudos de Segurança. Disponível em: https://issafrica.s3.amazonaws.com/site/uploads/sar-35-por.pdf

























