Utilization of Internet of Things and Wireless Sensor Networks for Sustainable Smallholder Agriculture

Bayih, Amsale Zelalem; Morales, Javier; Assabie, Yaregal; By, R.A. de

doi:10.3390/s22093273

Cited by 36 publications

(20 citation statements)

References 127 publications

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“…Challenges affecting the adoption of these technologies are also studied, such as concerns about privacy and trust, profitability issues, lack of skills, cost challenges, lack of broadband infrastructure, and technical challenges. In 2022, an investigation has been carried out on digital technologies and services used to increase agriculture productivity and sustainability in Tanzania [23]. The digital technology varies from simple mobile and web-based applications, mostly for smallholders to complex autonomous, information, and cyber-physical systems used by large-scale farmers.…”

Section: Survey On Technologies Used In Digital Agriculturementioning

confidence: 99%

A Survey on Digital Agriculture in Five West African Countries

et al. 2023

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This study focuses on agriculture, which is the main source of economic growth in many West African countries. In recent years, conventional agriculture has undergone a remarkable evolution and digital technologies are widely used for different purposes. While the world is rapidly using advanced digital technologies to grow their agriculture, Africa seems to be lagging behind, especially West Africa. To know how to contribute effectively, it is important to know what is being performed about this issue. The objective of this study is to examine the state of digital agriculture in five countries, namely, Benin, Burkina Faso, Côte d’Ivoire, Ghana, and Nigeria. The study consisted of an analysis of the scientific contributions of these countries and the cases of actual deployment. This is carried out by means of a bibliometric study based on data collected from the Web of Science and a comparative review of the technologies used in the target countries using data from several sources, such as IEEE, Scopus, Science Direct, Google Scholar, etc. The bibliometric analysis based on 3249 publications revealed that research interests have increased significantly since 2014. Climate change, machine learning (ML), and adoption have been the hottest topics of discussion and most of the organizations working on the topic are academic bodies. Moreover, a considerable amount of the scientific input was obtained from Nigeria, which is the most populous of the five countries considered. The survey on digital farming showed that publications in Nigeria that address deployment cases were focused on the internet of things (IoT), wireless sensor networks, blockchain, and artificial intelligence (AI) technologies. In Ghana, practical cases of blockchain, AI, and big data deployment were observed, while Burkina Faso focused on IoT and AI. In Côte d’Ivoire and Benin, the deployment cases generally focused on AI.

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Section: Survey On Technologies Used In Digital Agriculturementioning

confidence: 99%

A Survey on Digital Agriculture in Five West African Countries

et al. 2023

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“…In the same year, a systematic review was conducted on IoT and WSN for sustainable smallholder agriculture [22]. Indeed, smallholder farms can be defined as family-run, small farms that are often fragmented into disjoint plots, are nature-dependent and have limited operational budget, limited information access and technology support, and often display low production levels.…”

Section: Figure 1 Roadmap Of Industrial and Agriculture Revolution [1...mentioning

confidence: 99%

A Survey on Digital Agriculture in Five West African Countries

Dégila¹,

TOGNISSE²,

Honfoga³

et al. 2023

Preprint

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Agriculture is the primary source of economic growth in many countries in West Africa. It provides food and livelihoods for the population. The purpose of this study is to review the digital agriculture status in five countries, namely Benin, Burkina Faso, Coˆte d’Ivoire, Ghana, and Nigeria. The study consisted of a bibliometric analysis using a database exported from the web of science through a well-defined search string. Additionally, the cases of digital technology deployment in the countries were assessed through a systematic review approach comparing the technologies used in the target countries. Representative articles from the bibliometric review published in the last five years were selected for the comparative analysis. The bibliometric analysis based on 3,249 publications revealed that the research interests have significantly increased since 2014. The top two countries in terms of authors’ nationality were Nigeria and Ghana, respectively. Climate change, Machine Learning (ML) and adoption were the hot topics of discussion. The digital agriculture survey showed that publications in Nigeria were focused on Internet of Things (IoT), Wireless Sensors Networks, blockchain, and Artificial Intelligence (IA) technologies. Ghana also has a strong interest in blockchain, AI, and big data, while Burkina Faso focused on IoT and AI. Cote d’Ivoire and Benin focused only on AI.

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“…The possibility of integration between applications brings the possibility of using data from sensors and images together, making better use of the variables offered. Wireless sensor networks have already been proposed in the literature to make planting and cultivation sustainable and, at the same time, more intelligent so that the data collected in the field are used for improving planting and production [ 38 ]. Some wireless sensor networks have a particular monitoring variable such as the one proposed by Jaime Lloret et al [ 39 ] with soil mixture monitoring as its central focus.…”

Section: Literature Reviewmentioning

confidence: 99%

Smart Strawberry Farming Using Edge Computing and IoT

Cruz

Mafra

Teixeira

et al. 2022

Sensors

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Strawberries are sensitive fruits that are afflicted by various pests and diseases. Therefore, there is an intense use of agrochemicals and pesticides during production. Due to their sensitivity, temperatures or humidity at extreme levels can cause various damages to the plantation and to the quality of the fruit. To mitigate the problem, this study developed an edge technology capable of handling the collection, analysis, prediction, and detection of heterogeneous data in strawberry farming. The proposed IoT platform integrates various monitoring services into one common platform for digital farming. The system connects and manages Internet of Things (IoT) devices to analyze environmental and crop information. In addition, a computer vision model using Yolo v5 architecture searches for seven of the most common strawberry diseases in real time. This model supports efficient disease detection with 92% accuracy. Moreover, the system supports LoRa communication for transmitting data between the nodes at long distances. In addition, the IoT platform integrates machine learning capabilities for capturing outliers in collected data, ensuring reliable information for the user. All these technologies are unified to mitigate the disease problem and the environmental damage on the plantation. The proposed system is verified through implementation and tested on a strawberry farm, where the capabilities were analyzed and assessed.

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Utilization of Internet of Things and Wireless Sensor Networks for Sustainable Smallholder Agriculture

Cited by 36 publications

References 127 publications

A Survey on Digital Agriculture in Five West African Countries

A Survey on Digital Agriculture in Five West African Countries

A Survey on Digital Agriculture in Five West African Countries

Smart Strawberry Farming Using Edge Computing and IoT

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