Agriculture 4.0: The Role of Innovative Smart Technologies Towards Sustainable Farm Management

A number of global issues, including climate change, scarcity of natural resources, demographics and food waste, are placing pressure on the overall sustainability of agricultural systems. For this, a generalized method of whole-farm management approach, based on the potent cross-industry cooperation of stakeholders, infrastructures, technologies and applications will be applied. Indeed, beyond the actual involvement of advanced technologies, the substantial challenge of agriculture towards sustainable growth resides in the competency to enact more sophisticated and effective agricultural processes at lower costs, provide safer and more efficient operating conditions both for the environment and stakeholders (involving farmers, agronomist engineers, policy makers, etc.), and finally increase the synergies among them, offering the ability to make decisions even on issues that have ordinarily been outside their areas of expertise. In this context, traditional farm management approaches should undergo fundamental transformations, enabling smart technologies not just for the sake of innovation but to re-engineer the entire value chain so as to preserve sustainability in the agricultural sector. Current advancements in communication technologies, such as Cloud Computing and the Internet of Things, tend to combine with other sophisticated technologies like Computational Intelligence, Robotics, Big Data, etc., leading to the fourth stage of revolution in the agricultural sector, known as Agriculture 4.0. The purpose of this study is to specify and evaluate the key technologies and solutions involving ubiquitous computing advancements and conceptual innovations of agricultural production toward Agriculture 4.0, along with their capabilities, effects, and challenges for the benefit of sustainable farm management.

[1]  Symeonaki,et al.  A Context-Aware Middleware Cloud Approach for Integrating Precision Farming Facilities into the IoT toward Agriculture 4.0 , 2020, Applied Sciences.

[2]  N. Short,et al.  Big Data Analysis for Sustainable Agriculture on a Geospatial Cloud Framework , 2019, Front. Sustain. Food Syst..

[3]  W. Sutherland,et al.  Integrated farm management for sustainable agriculture: Lessons for knowledge exchange and policy , 2019, Land Use Policy.

[4]  David Reiser,et al.  Development of an Autonomous Electric Robot Implement for Intra-Row Weeding in Vineyards , 2019, Agriculture.

[5]  D. Rose,et al.  Agriculture 4.0: Broadening Responsible Innovation in an Era of Smart Farming , 2018, Front. Sustain. Food Syst..

[6]  Kamlesh Lakhwani,et al.  Development of IoT for Smart Agriculture a Review , 2018, Advances in Intelligent Systems and Computing.

[7]  Rafael Rieder,et al.  Computer vision and artificial intelligence in precision agriculture for grain crops: A systematic review , 2018, Comput. Electron. Agric..

[8]  Siva Kumar Balasundram,et al.  Research and development in agricultural robotics: a perspective of digital farming. , 2018 .

[9]  Kah Phooi Seng,et al.  Big data and machine learning for crop protection , 2018, Comput. Electron. Agric..

[10]  Cees T. A. M. de Laat,et al.  CloudsStorm: An Application-Driven Framework to Enhance the Programmability and Controllability of Cloud Virtual Infrastructures , 2018, CLOUD.

[11]  Li Da Xu,et al.  Industry 4.0: state of the art and future trends , 2018, Int. J. Prod. Res..

[12]  Stefan Bosse,et al.  Distributed and Cloud Computing: The Big Machine , 2017 .

[13]  Jairo Alejandro Gomez,et al.  Review of IoT applications in agro-industrial and environmental fields , 2017, Comput. Electron. Agric..

[14]  Konstantinos G. Arvanitis,et al.  Cloud Computing for IoT Applications in Climate-Smart Agriculture: A Review on the Trends and Challenges Toward Sustainability , 2017, Innovative Approaches and Applications for Sustainable Rural Development.

[15]  H. Aktaş,et al.  DIGITAL AGRICULTURE PRACTICES IN THE CONTEXT OF AGRICULTURE 4.0 , 2017 .

[16]  Sabine Pfeiffer The Vision of “Industrie 4.0” in the Making—a Case of Future Told, Tamed, and Traded , 2017, Nanoethics.

[17]  Konstantinos G. Arvanitis,et al.  SensoTube: A Scalable Hardware Design Architecture for Wireless Sensors and Actuators Networks Nodes in the Agricultural Domain , 2016, Sensors.

[18]  U. Deichmann,et al.  A Tale of Two Surplus Countries: China and Germany , 2016 .

[19]  Jaehyoun Kim,et al.  The Internet Information and Technology Research Directions based on the Fourth Industrial Revolution , 2016, KSII Trans. Internet Inf. Syst..

[20]  Antonio Pescapè,et al.  Integration of Cloud computing and Internet of Things: A survey , 2016, Future Gener. Comput. Syst..

[21]  Qingshi Shao,et al.  Device Data Ingestion for Industrial Big Data Platforms with a Case Study , 2016, Sensors.

[22]  Narendra Singh Raghuwanshi,et al.  Wireless sensor networks for agriculture: The state-of-the-art in practice and future challenges , 2015, Comput. Electron. Agric..

[23]  David J. Mulla,et al.  Historical Evolution and Recent Advances in Precision Farming , 2015 .

[24]  Lida Xu,et al.  The internet of things: a survey , 2014, Information Systems Frontiers.

[25]  Federico Castanedo,et al.  A Review of Data Fusion Techniques , 2013, TheScientificWorldJournal.

[26]  Xingshe Zhou,et al.  Connecting Agriculture to the Internet of Things through Sensor Networks , 2011, 2011 International Conference on Internet of Things and 4th International Conference on Cyber, Physical and Social Computing.

[27]  Cosmin Popa,et al.  Adoption of Artificial Intelligence in Agriculture , 2011, Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca. Agriculture.

[28]  Jerry H. Ratcliffe,et al.  State police investigative structure and the adoption of intelligence‐led policing , 2008 .

[29]  David Lamb,et al.  PA—Precision Agriculture: Remote-Sensing and Mapping of Weeds in Crops , 2001 .

[30]  Keith Butterworth,et al.  The integrated farm , 1974 .

[31]  Malka N. Halgamuge,et al.  Adoption of the Internet of Things (IoT) in Agriculture and Smart Farming towards Urban Greening: A Review , 2019, International Journal of Advanced Computer Science and Applications.

[32]  A. Selmani,et al.  Agricultural cyber-physical system enabled for remote management of solar-powered precision irrigation , 2019, Biosystems Engineering.

[33]  Emerging Trends in Expert Applications and Security , 2019, Advances in Intelligent Systems and Computing.

[34]  Dries Berckmans,et al.  General introduction to precision livestock farming , 2017 .

[35]  Viacheslav I. Adamchuk,et al.  Agriculture Cyber-Physical Systems , 2017 .

[36]  Christian Brecher,et al.  Industrial Internet of Things and Cyber Manufacturing Systems , 2017 .

[37]  R. S. Jadoun,et al.  Role of Cloud Computing Technology in Agriculture Fields , 2016 .

[38]  Li Tan,et al.  Cloud-based Decision Support and Automation for Precision Agriculture in Orchards , 2016 .

[39]  R. Sessa,et al.  Climate-smart agriculture: sourcebook. , 2013 .

[40]  W. Wahlster,et al.  Securing the future of German manufacturing industry , 2013 .

[41]  Dionysis Bochtis,et al.  Conceptual model of fleet management in agriculture , 2010 .

[42]  Soung Hie Kim,et al.  An Artificial Neural Network Approach , 1993 .

[43]  Rajkumar Buyya,et al.  Article in Press Future Generation Computer Systems ( ) – Future Generation Computer Systems Cloud Computing and Emerging It Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility , 2022 .