Leveraging Low-Power Wide Area Networks for Precision Farming: Limabora—A Smart Farming Case Using LoRa Modules, Gateway, TTN and Firebase in Kenya

Mabele, Leonard; Mutegi, Lorna

doi:10.1007/978-3-030-11434-3_29

Cited by 3 publications

(2 citation statements)

References 5 publications

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“…Data preservation [61,64,74,75,84,85,89,102,105,111,115] Data transfer to JSON and XML formats [75,89,93,102] Data fuzzification and de-fuzzification [62] Redundant data removal [61] Data analysis and processing…”

Section: Data Curationmentioning

confidence: 99%

“…Cloud [58,60,62,64,65,68,69,75,76,82,85,89,91,93,102,104,105,115,138,139] Edge and/or Fog [61,99,103] Private server [74,81,84,87,94,100,111] Quality assurance measures Non-elaborated calibration [84,93,106] Data validation based on descriptive statistics [104] Reliability and data accuracy assessment based on ISO/IEC 9126 [83] Sensor calibration based on standard laboratory results [76] Sensor calibration using conventional weather station readings [94] Sensor data validation against standard laboratory results [82] Sensor data validation using linear correlation [65] Transaction validation based on block chain [62]…”

Section: Computing Environmentmentioning

confidence: 99%

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

Bayih

Morales

Assabie

et al. 2022

Sensors

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Agriculture is the economy’s backbone for most developing countries. Most of these countries suffer from insufficient agricultural production. The availability of real-time, reliable and farm-specific information may significantly contribute to more sufficient and sustained production. Typically, such information is usually fragmented and often does fit one-on-one with the farm or farm plot. Automated, precise and affordable data collection and dissemination tools are vital to bring such information to these levels. The tools must address details of spatial and temporal variability. The Internet of Things (IoT) and wireless sensor networks (WSNs) are useful technology in this respect. This paper investigates the usability of IoT and WSN for smallholder agriculture applications. An in-depth qualitative and quantitative analysis of relevant work over the past decade was conducted. We explore the type and purpose of agricultural parameters, study and describe available resources, needed skills and technological requirements that allow sustained deployment of IoT and WSN technology. Our findings reveal significant gaps in utilization of the technology in the context of smallholder farm practices caused by social, economic, infrastructural and technological barriers. We also identify a significant future opportunity to design and implement affordable and reliable data acquisition tools and frameworks, with a possible integration of citizen science.

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Section: Data Curationmentioning

confidence: 99%

Section: Computing Environmentmentioning

confidence: 99%

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

Bayih

Morales

Assabie

et al. 2022

Sensors

View full text Add to dashboard Cite

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Sustainable agriculture in the digital era: Past, present, and future trends by bibliometric analysis

Xu,

Li,

Zhang

et al. 2024

Heliyon

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The evolution of precision agriculture and food safety: a bibliometric study

Xu,

Cui,

Zhang

et al. 2024

Front. Sustain. Food Syst.

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IntroductionFood safety issues pose a significant threat to humanity. Precision agriculture leverages advanced technologies for real-time monitoring and management, improving agricultural productivity and sustainability while safeguarding food security. Nonetheless, acquiring a thorough comprehension of this continually shifting panorama remains of vital significance.MethodsThis study conducts a comprehensive bibliometric review of precision agriculture and food safety, utilizing quantitative methods to identify past, current, and future evolution. It includes citation, co-authorship, co-citation, and co-words analyses.ResultsPublications emerged in 1994 and began to rise significantly since 2019. Citation analysis verified influencing works and journals, whereas co-authorship analysis identified how authors, institutions, and countries collaborate in this field. Co-citation analysis then classified past and current hotspots into four clusters: remote vegetation monitoring techniques, technological innovations and agricultural decision-making, precision agriculture and sustainable development, and deep learning in agriculture. After that, the co-occurrence of keywords revealed emerging trends, such as precision cultivation and yield prediction, smart agricultural technology and food management, precision information for climate change adaptation, and precision agriculture and food security.DiscussionThe findings provide insights for scholars, policymakers, researchers, practitioners, and industry stakeholders. They guide future research directions and address pressing challenges in agriculture and food safety.

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Leveraging Low-Power Wide Area Networks for Precision Farming: Limabora—A Smart Farming Case Using LoRa Modules, Gateway, TTN and Firebase in Kenya

Cited by 3 publications

References 5 publications

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

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

Sustainable agriculture in the digital era: Past, present, and future trends by bibliometric analysis

The evolution of precision agriculture and food safety: a bibliometric study

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