A survey on the role of Internet of Things for adopting and promoting Agriculture 4.0

Raj, M. Bharath; Gupta, Shashank; Chamola, Vinay; Elhence, Anubhav; Garg, Tanya; Atiquzzaman, Mohammed; Niyato, Dusit

doi:10.1016/j.jnca.2021.103107

Cited by 163 publications

(76 citation statements)

References 148 publications

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“…Individual methods used in connection with Industry 4.0 are applied to agriculture. This approach ranges from general technology systems such as IoT [22] to special techniques such as wire networks [23] to detail issues of soil testing devices [24].…”

Section: Discussionmentioning

confidence: 99%

Challenges for Agriculture through Industry 4.0

et al. 2021

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Industry 4.0 is currently considered the structural implementation of networked and cooperative digitalisation and the next step in technological and social development. The aim of this paper is to examine how these structures are also suitable for agriculture and whether there are already approaches to this. Therefore, the main aspects of Industry 4.0 will be analysed and compared with agricultural examples from arable farming and livestock farming. The study shows that the approaches of Industry 4.0 are also useful for agriculture. However, they must be adapted to agriculture, as it has a different basic structure. As in industry, it is also evident in agriculture that there is still a need for action in the organisational and technical networking of systems.

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Section: Discussionmentioning

confidence: 99%

Challenges for Agriculture through Industry 4.0

et al. 2021

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“…In fact, smarter farms, healthier crops, and more efficient production are required more urgently than at any previous time. Rural connectivity, IoT [62], and AI [63]- [65] can all play a major role in achieving this goal. Crop detection [66], [67], nutrition control, growth monitoring [68], health diagnosis [69], and disease forecasting [70], which assits farmers with their decision making, rely on data collected from several sources, such as sensory systems, drone images, weather data and AI predictions.…”

Section: Agriculturementioning

confidence: 99%

Bridging the Urban-Rural Connectivity Gap through Intelligent Space, Air, and Ground Networks

Fourati¹,

Alsamhi²,

Alouini³

2022

Preprint

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Connectivity in rural areas is one of the main challenges of communication networks. To overcome this challenge, a variety of solutions for different situations are required. Optimizing the current networking paradigms is therefore mandatory. The high costs of infrastructure and the low revenue of cell sites in rural areas compared with urban areas are especially unattractive for telecommunication operators. Therefore, space, air, and ground networks should all be optimized for achieving connectivity in rural areas. We highlight the latest works on rural connectivity, discuss the solutions for terrestrial networks, and study the potential benefits of nonterrestrial networks. Furthermore, we present an overview of artificial intelligence (AI) techniques for improving space, air, and ground networks, hence improving connectivity in rural areas. AI enables intelligent communications and can integrate space, air, and ground networks for rural connectivity. We discuss the rural connectivity challenges and highlight the latest projects and research and the empowerment of networks using AI. Finally, we discuss the potential positive impacts of providing connectivity to rural communities.

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“…These are Precision Farming (McBratney et al 2005;Aubert et al 2012;Eastwood et al 2017), Smart Farming (Wolfert et al 2017), Agriculture 4.0 (Rose & Chilvers 2018;De Clercq et al 2018;Zambon et al 2019;Zhai et al 2020;Raj et al 2021;Rijswijk et al 2021;Rose et al 2021). Moreover, synonyms of Agriculture 4.0 are "Numerical Agriculture" (Agriculture Numérique) in France (Klerkx et al 2019), "Smart Farming" in many countries of the European Union, "Digital Agriculture" in Australia and New Zealand (Keogh & Henry 2016;Shepherd et al 2018;Fielke et al 2020;Fleming et al 2021).…”

Section: Digital Transformationmentioning

confidence: 99%

“…IoT-based smart devices, such as WSNs, drones, robots, enable farmers to substantially decrease the use of pesticides. Advanced IoT-based pests and insect control allow precise tracking, simulation, disease prediction, and therefore is more efficient than traditional pest control calendars or prescripts (Raj et al 2021). The IoT-based systems with ML, DL, and image processing can be used in preventing fruit diseases, diagnosing and preventing infection in agricultural products.…”

Section: Environmental Monitoringmentioning

confidence: 99%