Precision agriculture using remote monitoring systems in Brazil

Rodrigo Filev Maia, Anh L.H. Tran, Ibrahim Netto

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

18 Citations (Scopus)

Abstract

Soil and nutrient depletion from intensive use of land is a critical issue for food production. An understanding of whether the soil is adequately treated with appropriate crop management practices in real-time during production cycles
could prevent soil erosion and the overuse of natural or artificial resources to keep the soil healthy and suitable for planting. Precision agriculture traditionally uses expensive techniques to monitor the health of soil and crops including images from satellites and airplanes. Recently there are several studies using drones and a multitude of sensors connected to farm machinery to observe and measure the health of soil and crops during planting and harvesting. This paper describes a real-time, in-situ agricultural internet of things (IoT) device designed to monitor the state of the soil and the environment. This device was designed to be compatible with open hardware and it is composed of temperature and humidity sensors (soil and environment), electrical conductivity of the soil and luminosity, Global Positioning System (GPS) and a ZigBee radio for data communication. The field trial involved soil testing and measurements of the local climate in Sao Paulo, Brazil. The measurements of soil temperature, humidity and conductivity are used to monitor soil conditions. The local climate data could be used to support decisions about irrigation and other activities related to crop health. On-going research includes methods to reduce the consumption of energy and increase the number of sensors. Future applications include the use of the IoT device to detect fire in crops, a common problem in sugar cane crops and the integration of the IoT device with irrigation management systems to improve water usage.

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Original languageEnglish
Title of host publicationIEEE Global Humanitarian Technology Conference 2017 Conference Proceedings
PublisherIEEE
Pages(in press)
Number of pages6
Volume(in press)
Publication statusPublished - 19 Oct 2017

Keywords

  • precision agriculture
  • internet of things
  • agri-tech
  • remote monitoring

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    Filev Maia, R., Tran, A. L. H., & Netto, I. (2017). Precision agriculture using remote monitoring systems in Brazil. In IEEE Global Humanitarian Technology Conference 2017 Conference Proceedings (Vol. (in press), pp. (in press)). IEEE.