Machine learning in agriculture: A comprehensive updated review
The digital transformation of agriculture has evolved various aspects of management into
artificial intelligent systems for the sake of making value from the ever-increasing data …
artificial intelligent systems for the sake of making value from the ever-increasing data …
[HTML][HTML] A review of social science on digital agriculture, smart farming and agriculture 4.0: New contributions and a future research agenda
While there is a lot of literature from a natural or technical sciences perspective on different
forms of digitalization in agriculture (big data, internet of things, augmented reality, robotics …
forms of digitalization in agriculture (big data, internet of things, augmented reality, robotics …
A systematic literature review on machine learning applications for sustainable agriculture supply chain performance
Agriculture plays an important role in sustaining all human activities. Major challenges such
as overpopulation, competition for resources poses a threat to the food security of the planet …
as overpopulation, competition for resources poses a threat to the food security of the planet …
Who drives the digital revolution in agriculture? A review of supply‐side trends, players and challenges
Digital agriculture offers far‐reaching opportunities for accelerating agricultural
transformation. Based on empirical evidence and guided by economic theory, this study …
transformation. Based on empirical evidence and guided by economic theory, this study …
Industry 4.0 and precision livestock farming (PLF): an up to date overview across animal productions
Precision livestock farming (PLF) has spread to various countries worldwide since its
inception in 2003, though it has yet to be widely adopted. Additionally, the advent of Industry …
inception in 2003, though it has yet to be widely adopted. Additionally, the advent of Industry …
Precision farming at the nexus of agricultural production and the environment
Precision farming enables agricultural management decisions to be tailored spatially and
temporally. Site-specific sensing, sampling, and managing allow farmers to treat a field as a …
temporally. Site-specific sensing, sampling, and managing allow farmers to treat a field as a …
A review on dairy cattle farming: Is precision livestock farming the compromise for an environmental, economic and social sustainable production?
Abstract Precision Livestock Farming (PLF) is spreading worldwide for its applications on
livestock farms, in both intensive and extensive systems. PLF has started being adopted only …
livestock farms, in both intensive and extensive systems. PLF has started being adopted only …
[HTML][HTML] Scientific development of smart farming technologies and their application in Brazil
Smart farming (SF) involves the incorporation of information and communication
technologies into machinery, equipment, and sensors for use in agricultural production …
technologies into machinery, equipment, and sensors for use in agricultural production …
[HTML][HTML] Recent advances in wearable sensors for animal health management
S Neethirajan - Sensing and Bio-Sensing Research, 2017 - Elsevier
Biosensors, as an application for animal health management, are an emerging market that is
quickly gaining recognition in the global market. Globally, a number of sensors being …
quickly gaining recognition in the global market. Globally, a number of sensors being …
Smart animal agriculture: application of real-time sensors to improve animal well-being and production
Consumption of animal products such as meat, milk, and eggs in first-world countries has
leveled off, but it is rising precipitously in develo** countries. Agriculture will have to …
leveled off, but it is rising precipitously in develo** countries. Agriculture will have to …