A review on the practice of big data analysis in agriculture

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A systematic literature review on machine learning applications for sustainable agriculture supply chain performance (2020, background): “Other issues include data privacy, data security, data accuracy, and data access (Kamilaris et al. 2017; Sykuta, 2016).”
Research and development in agricultural robotics: a perspective of digital farming. (2018, neutral): “Some of the technologies involved in digital farming include the Internet of Thing [180] , big data analysis [181] , smart sensors [182] , GPS and GIS, ICT [183] , wireless sensor networks [184,185] , UAV [186-188] , cloud computing [189-191] , simulation software [192-195] , mapping applications…”
Applications of Remote Sensing in Precision Agriculture: A Review (2020, methodology): “Emerging data processing techniques such as Big Data analysis, artificial intelligence, and machine learning have been utilized to draw useful information from the large volume of data [27].”
From Smart Farming towards Agriculture 5.0: A Review on Crop Data Management (2020, methodology): “• Valorization is the ability to propagate knowledge, appreciation and innovation [18].”