Abstract
In addition to being considered as a food pantry by different entities, such as the FAO, the Colombian agriculture industry represents 6.7% of the country’s GDP and 7.4% of total exports. This shows a clear inclination towards agriculture and the urgent demand for technicizing the countryside. Even more when considering the increase of almost 70% in food production, projected for 2050, to provide food for the people who will inhabit the world. However, even with government efforts, work in the small-scale Colombian agricultural sector is rudimentary and traditional. This leads to land degradation and low production, which prevents small farmers from competing in national and international markets on equal terms. This paper proposes a review of the literature using the DANDELION methodology, focused on the use of IoT in agriculture since this technology has proven to have interesting results in increasing food production by optimizing the amount of land, water, and other resources used by the agricultural sector. Evaluating each of the approaches in the context of good practices in IoT in agriculture, by comparing the definitions provided by the ITU, FAO, OECD, and World Bank since they are considered as recognized organizations offering their respective definitions of good practices both in IoT and in the agricultural sector. This work establishes a basis for standardizing the development of IoT solutions in agriculture at the national level and the state of IoT solutions in farming and several challenges to be solved in small-scale agriculture.
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Notes
- 1.
In 2016, Colombia had 43% of its inhabitants in chronic malnutrition [7].
- 2.
According to the 2013 national agricultural census, in rural areas, 60% of peasant women complete sixth grade, compared to 50% of peasant men who reach fifth grade [21].
- 3.
In 2016, climate change was the principal cause of natural disasters in Colombia [22].
References
FAO: Buenas prácticas en la FAO: Sistematización de experiencias para el aprendizaje continuo. 13:12 (2013)
Sanou, B., Grindeanu, S.: GSR-18 best practice guidelines on new regulatory frontiers to achieve digital transformation. In: ITUGSR, Geneva 2018, pp. 1–8 (2018)
Mundial, B.: Alcanzando a los pobres rurales. Nueva estrategia de desarrollo rural (2001)
Kadam, A.: IOT in Agriculture Market (2017). https://www.alliedmarketresearch.com/internet-of-things-iot-in-agriculture-market. Accessed 12 Dec 2020
Group, W.B.: Internet of Things: the new government to business platform: a review of opportunities, practices, and challenges. Lecture Notes Computer Science (including Subser Lecture Notes Artificial Intelligence Lecture Notes Bioinformatics), vol. 7768, pp. 257–282 (2017). https://doi.org/10.1007/978-3-642-41569-2-13
OECD: The Internet of Things - seizing the benefits and addressing the challenges. In: OECD Digital Economy Papers, pp. 4–11. OECD Publishing, Paris (2016)
Food and Agriculture Organization of the United Nations (FAO), World Food Programme (WFP): Monitoring food security in countries with conflict situation (2016)
Espinosa, C.M.A., Romero, R.E., Flórez, G.L.Y., Guerrero, C.D.: DANDELION: Propuesta metodológica para recopilación y análisis de información de artículos científicos. Un enfoque desde la bibliometría y la revisión sistemática de la literatura. RISTI. Iber J. Inf. Syst. Technol. 110–123 (2020). https://search.proquest.com/openview/e3b85a7260c758fd943bc4d5a0447f13/1?pq-origsite=gscholar&cbl=1006393
Ayaz, M., Ammad-Uddin, M., Sharif, Z., et al.: Internet-of-Things (IoT)-based smart agriculture: toward making the fields talk. IEEE Access 7, 129551–129583 (2019).https://doi.org/10.1109/ACCESS.2019.2932609
Farooq, M.S., Riaz, S., Abid, A., et al.: A survey on the role of IoT in agriculture for the implementation of smart farming. IEEE Access 7, 156237–156271 (2019). https://doi.org/10.1109/ACCESS.2019.2949703
Abbasi, M., Yaghmaee, M.H., Rahnama, F.: Internet of Things in agriculture: a survey. In: Proceedings of 3rd International Conference on Internet Things Applications IoT 2019, pp. 1–12 (2019). https://doi.org/10.1109/IICITA.2019.8808839
Dupont, C., Sheikhalishahi, M., Biswas, A.R., Bures, T.: IoT, big data, and cloud platform for rural African needs. In: 2017 IST-Africa Week Conference on IST-Africa 2017, pp. 1–7 (2017). https://doi.org/10.23919/ISTAFRICA.2017.8102386
Triantafyllou, A., Sarigiannidis, P., Bibi, S.: Precision agriculture: a remote sensing monitoring system architecture. Information 10, 348 (2019). https://doi.org/10.3390/info10110348
Celestrini, J.R., Santos, C.A.S., Rocha, R.N., et al.: An architecture and its tools for integrating IoT and BPMN in agriculture scenarios. In: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing Part F1477, pp. 824–831 (2019). https://doi.org/10.1145/3297280.3297361
Verdouw, C., Sundmaeker, H., Tekinerdogan, B., et al.: Architecture framework of IoT-based food and farm systems: a multiple case study. Comput. Electron Agric. 165, 104939 (2019). https://doi.org/10.1016/j.compag.2019.104939
Yelamarthi, K., Aman, M.S., Abdelgawad, A.: An application-driven modular IoT architecture. Wirel. Commun. Mob. Comput. (2017). https://doi.org/10.1155/2017/1350929
Lavanya, P., Sudha, R.: A study on WSN based IoT application in agriculture. In: Proceedings of 3rd International Conference on Communication Electronic System ICCES 2018, pp. 1046–1054 (2018). https://doi.org/10.1109/CESYS.2018.8724020
Vuran, M.C., Salam, A., Wong, R., Irmak, S.: Internet of underground things: sensing and communications on the field for precision agriculture. In: IEEE World Forum Internet Things, WF-IoT 2018 - Proceedings 2018-January, pp. 586–591 (2018). https://doi.org/10.1109/WF-IoT.2018.8355096
Cadavid, H., Garzón, W., Pérez, A., et al.: Towards a smart farming platform: from IoT-based crop sensing to data analytics. Commun. Comput. Inf. Sci. 885, 237–251 (2018). https://doi.org/10.1007/978-3-319-98998-3_19
Rossel, R.A.V., Adamchuk, V.I., Sudduth, K.A., et al.: Proximal Soil Sensing : An Effective Approach for Soil Measurements in Space and Time, 1st edn. Elsevier Inc. (2011)
DANE: 3er Censo Nacional Agropecuario (2016)
Francescutti, C., IFAD: Investing in rural people in Colombia, Colombia (2016)
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Espinosa, C.A., Pineda, J., Ortega, O., Author, A.J., Sarmiento, R., Archibold Taylor, G.W. (2021). Trends, Challenges and Opportunities for IoT in Smallholder Agriculture Sector: An Evaluation from the Perspective of Good Practices. In: Rocha, Á., Adeli, H., Dzemyda, G., Moreira, F., Ramalho Correia, A.M. (eds) Trends and Applications in Information Systems and Technologies. WorldCIST 2021. Advances in Intelligent Systems and Computing, vol 1365. Springer, Cham. https://doi.org/10.1007/978-3-030-72657-7_28
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