A Systematic Review of IoT Solutions for Smart Farming
By Emerson Navarro, Nuno Manuel Silva Costa, António Pereira. Italian National Conference on Sensors, 2020
317 citations recorded by the source corpus.
The world population growth is increasing the demand for food production. Furthermore, the reduction of the workforce in rural areas and the increase in production costs are challenges for food production nowadays. Smart farming is a farm management concept that may use Internet of Things (IoT) to overcome the current challenges of food production. This work uses the preferred reporting items for systematic reviews (PRISMA) methodology to systematically review the existing literature on smart farming with IoT. The review aims to identify the main devices, platforms, network protocols, processing data technologies and the applicability of smart farming with IoT to agriculture. The review shows an evolution in the way data is processed in recent years. Traditional approaches mostly used data in a reactive manner. In more recent approaches, however, new technological developments allowed the use of data to prevent crop problems and to improve the accuracy of crop diagnosis.
Subfields: Electrical and Electronic Engineering, Food Science, Plant Science
View Paper: https://www.semanticscholar.org/paper/2387b27c1a9eaea8678a26f70881c695c6cec09d
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In Plant Science
Citations in the corpus
- Current Progress and Future Prospects of Agriculture Technology: Gateway to Sustainable Agriculture (2021, background): “Similarly, Navarro et al. [25] conducted a systematic review of IoT solutions for smart farming and focused on the concept, number of publications, and IoT applications in agriculture.”