A dataset of data extraction and analysis de la cybersecurity in smart agriculture on an SLR

This study aims to present a systematic literature review (SLR) to address the lack of a comprehensive review of the literature on cybersecurity in smart agriculture. This SLR analyzes 58 documents extracted from Scopus, Web of Science, and IEEE Xplore. The main findings on cybersecurity in smart agriculture encompass the challenges of cybersecurity in agriculture, the detection of attacks and intrusions, the evaluation of case studies, the assessment of frameworks, and the analysis of applied models. Organizations should also train their employees to recognize and respond to cyber threats.