Prediction and Context Awareness in Agriculture: A Systematic Mapping

Bruno Guilherme Martini, Gilson Augusto Helfer, Jorge Luis Victória Barbosa, Regina Célia Espinosa Modolo, Marcio Rosa da Silva and Rodrigo Marques de Figueiredo

AGRIS on-line Papers in Economics and Informatics, 2020, vol. 12, issue 3

Abstract: The advances in sensorial technology and its use in agriculture have been contributing to the acquisition and analysis of data regarding agricultural production. Studies propose the use of sensors to monitor production or even the use of cameras to obtain crop information, providing data, reminders, and alerts to farmers. Through the obtainment and analysis of these data, context awareness can be used to improve systems, mainly through the prediction techniques applied to agriculture. This article presents a systematic mapping of studies that use prediction and context awareness in agriculture. During the mapping, 10206 articles were initially identified and, after filtering by inclusion and exclusion criteria, 42 articles were selected. The results indicated that 35.7% (15/42) of the studies used one or more prediction techniques and 45.2% (19/42) used image processing through pictures of cameras to obtain information regarding planting. 23 sensors with different functionalities were found, those have been used in the collection of data for context formation in agriculture.

Keywords: Agricultural and Food Policy; Research and Development/Tech Change/Emerging Technologies (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:ags:aolpei:320074

DOI: 10.22004/ag.econ.320074

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