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Article #1
Evstatiev, B. I., and K. G. Gabrovska-Evstatieva. "A review on the methods for big data analysis
in agriculture." IOP conference series: materials science and engineering. Vol. 1032. No.
1. IOP Publishing, 2021.https://doi.org/10.1088/1757-899x/1032/1/012053
Evstatiev and Gabrovska-Evstatieva from the University of Ruse Angel Kanchev
comprehensively review big data analysis methods in agriculture, emphasizing the challenges
and opportunities of integrating information and communication technologies into farming
practices. The authors claim that precision agriculture has the potential to turn farming into smart
farming by integrating IoT devices and geo data to address issues such as food scarcity. They
highlighted the importance of a wide range of opportunities given by big data through intimate
exploration. It requires specific expertise, which, in turn, many farmers and agronomists still
need to possess. The study intends to fill this gap by identifying different data analysis
techniques and their suitability for different facets of agriculture. The authors also emphasize that
a view of the data must be made more frequent in real-time or near real-time to be more useful.
Based on the information technology trends for integrating large data analysis in farming
systems, this review entails important recommendations for agricultural professionals and
scholars. I found the paper's vast overview of data analysis tools and their usage relevant to my
study on auto...