Literature DB >> 32575891

IoT Sensing Platform as a Driver for Digital Farming in Rural Africa.

Antonio Oliveira-Jr1,2, Carlos Resende1, André Pereira1, Pedro Madureira1, João Gonçalves1, Ruben Moutinho1, Filipe Soares1, Waldir Moreira1.   

Abstract

Small-scale farming can benefit from the usage of information and communication technology (ICT) to improve crop and soil management and increase yield. However, in order to introduce digital farming in rural areas, related ICT solutions must be viable, seamless and easy to use, since most farmers are not acquainted with technology. With that in mind, this paper proposes an Internet of Things (IoT) sensing platform that provides information on the state of the soil and surrounding environment in terms of pH, moisture, texture, colour, air temperature, and light. This platform is coupled with computer vision to further analyze and understand soil characteristics. Moreover, the platform hardware is housed in a specifically designed robust casing to allow easy assembly, transport, and protection from the deployment environment. To achieve requirements of usability and reproducibility, the architecture of the IoT sensing platform is based on low-cost, off-the-shelf hardware and software modularity, following a do-it-yourself approach and supporting further extension. In-lab validations of the platform were carried out to finetune its components, showing the platform's potential for application in rural areas by introducing digital farming to small-scale farmers, and help them delivering better produce and increasing income.

Entities:  

Keywords:  computer vision; digital farming; internet of things; rural Africa; sensing platform; small-scale farmers

Year:  2020        PMID: 32575891     DOI: 10.3390/s20123511

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  2 in total

1.  Remote Insects Trap Monitoring System Using Deep Learning Framework and IoT.

Authors:  Balakrishnan Ramalingam; Rajesh Elara Mohan; Sathian Pookkuttath; Braulio Félix Gómez; Charan Satya Chandra Sairam Borusu; Tey Wee Teng; Yokhesh Krishnasamy Tamilselvam
Journal:  Sensors (Basel)       Date:  2020-09-15       Impact factor: 3.576

2.  Smart Strawberry Farming Using Edge Computing and IoT.

Authors:  Mateus Cruz; Samuel Mafra; Eduardo Teixeira; Felipe Figueiredo
Journal:  Sensors (Basel)       Date:  2022-08-05       Impact factor: 3.847

  2 in total

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