Ubiquitous Computing in Precision Agriculture: A Systematic Review

Abstract

The applications of ubiquitous computing have increased in recent years, especially due to the development of technologies such as mobile computing and its integration with the real world. One of the challenges in this area is the use of context sensitivity. In agriculture, this can be considered as the context related to the environment, such as the chemical and physical aspects that characterize the different soil types. This scenario periodically changes due to factors such as climate, type of cultivar and soil management technique used, among other aspects. This article presents a systematic review on the research works that explore ubiquitous computing in precision agriculture, including which technologies are being currently applied and which gap scan still be researched. Nine scientific repositories were explored to find articles about precision agriculture and ubiquitous computing. As a result of this search and filtering process, 32 works were reviewed, analyzed and categorized between the years of 2009 and 2019. In general, the reviewed articles concentrate on problems arising from the communication between sensors and the management of context-sensitive data.

Prediction and Context Awareness in Agriculture: A Systematic Mapping

“…The information may have different purposes such as detecting plant species(Kumar et al, 2016), bird species(Fiehn et al, 2018), plant size (Joshi et al, 2017),(Fukatsu, 2014), fruit color(Tan et al, 2016), plagues on fruits(Tan et al, 2016) and also to count insects(Fukatsu, 2014). These applications show the potential in the area because of the diversity of information that can be obtained with the same equipment Helfer et al (2019). showed that studies already used large amounts of Wireless Sensors Networks (WSN) this aspect was also detected in this mapping.…”