2020
DOI: 10.3390/agronomy10020207
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From Smart Farming towards Agriculture 5.0: A Review on Crop Data Management

Abstract: The information that crops offer is turned into profitable decisions only when efficiently managed. Current advances in data management are making Smart Farming grow exponentially as data have become the key element in modern agriculture to help producers with critical decision-making. Valuable advantages appear with objective information acquired through sensors with the aim of maximizing productivity and sustainability. This kind of data-based managed farms rely on data that can increase efficiency by avoidi… Show more

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Cited by 611 publications
(331 citation statements)
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“…The concept of precision agriculture (PA) emerged in 1980, relating to the use of techniques to deal with field variability [1]. Driven by PA and industry 4.0 (I4.0) concepts, several terms seek to designate the use of emerging technologies in agriculture, such as agriculture 4.0 (A4.0), digital agriculture, smart agriculture and agri-food 4.0, among others [1]- [3]. Discussions about the digital transformation of agriculture represent the transformation of agribusiness processes towards automation, flexibility, scalability and increase productivity and quality [4]- [6].…”
Section: Introductionmentioning
confidence: 99%
“…The concept of precision agriculture (PA) emerged in 1980, relating to the use of techniques to deal with field variability [1]. Driven by PA and industry 4.0 (I4.0) concepts, several terms seek to designate the use of emerging technologies in agriculture, such as agriculture 4.0 (A4.0), digital agriculture, smart agriculture and agri-food 4.0, among others [1]- [3]. Discussions about the digital transformation of agriculture represent the transformation of agribusiness processes towards automation, flexibility, scalability and increase productivity and quality [4]- [6].…”
Section: Introductionmentioning
confidence: 99%
“…AI is expected to help us visualize and identify these patterns, and to better enable farmers, rural communities, and other stakeholder to manage and ''engineer'' agricultural systems with the reward of economic and environmental sustainability. 147,198,[231][232][233][234][235]…”
Section: Artificial Intelligence (Ai)mentioning
confidence: 99%
“…These technologies are rapidly growing, with strong investments from the industrial sector, which is offering an increasing number of tools and services. Successful examples already exist, such as operational advisory services based on crop monitoring and real-time data processing [ 7 , 8 , 9 ].…”
Section: Introductionmentioning
confidence: 99%