Big Data and AI Revolution in Precision Agriculture: Survey and Challenges

• Published in: IEEE access Vol. 9; pp. 110209 - 110222
• Main Authors: Bhat, Showkat Ahmad, Huang, Nen-Fu
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accessibility; Agriculture; Artificial intelligence; Big Data; big data analytics; Data analysis; Deep learning; digital agriculture; Diseases; Electronic devices; Libraries; Machine learning; Precision agriculture; Production; smart farming; Software; Software development tools; Soil; sustainable agriculture; Sustainable development
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2021.3102227

Sustainable agricultural development is a significant solution with fast population development through the use of information and communication (ICT) in precision agriculture, which produced new methods for making cultivation further productive, proficient, well-regulated while preserving the climate. Big data (machine learning, deep learning, etc.) is amongst the vital technologies of ICT employed in precision agriculture for their huge data analytical capabilities to abstract significant information and to assist agricultural practitioners to comprehend well farming practices and take precise decisions. The main goal of this article is to acquire an awareness of the Big Data latest applications in smart agriculture and be acquainted with related social and financial challenges to be concentrated on. This article features data creation methods, accessibility of technology, accessibility of devices, software tools, and data analytic methods, and appropriate applications of big data in precision agriculture. Besides, there are still a few challenges that come across the widespread implementation of big data technology in agriculture.