Agriculture 6.0 Leveraging AI, IoT, Machine Learning, and Blockchain for a Sustainable Future

Mushtaque Ahmed Rahu; Waqas Ahmed Khaliji; Azeem Ayaz; Sanjha Rehman Memon; Imran khan jatoi

Agriculture 6.0 Leveraging AI, IoT, Machine Learning, and Blockchain for a Sustainable Future

Authors

Mushtaque Ahmed Rahu Department of Electronic Engineering, Quaid-e-Awam University of Engineering Science & Technology, Nawab Shah, Pakistan
Waqas Ahmed Khaliji Lecturer, Department of Information Technology, Quaid-e-Awam University of Engineering Science & Technology, Nawab Shah, Pakistan
Azeem Ayaz Assistant Professor, Department of Information Technology, Shaheed Banzir Bhutto University, Shaheed Banzirabad, Sindh, Pakistan
Sanjha Rehman Memon Department of Telecommunication Engineering, Quaid-e-Awam University of Engineering Science & Technology, Nawab Shah, Pakistan
Imran khan jatoi Lecturer Department of Statistics, Shaheed Banzir Bhutto University, Shaheed Banzirabad, Pakistan

Keywords:

Agriculture 1.0 to 6.0, smart farming technologies,, Energy Sustainability, Trends

Abstract

The Internet of Things (IoT) and smart computing technologies have transformed every facet of the twenty-first century. There are numerous applications for these technologies, ranging from real-time crop conditions, water quality, and soil moisture monitoring to the use of drones to support responsibilities like bug application. An era of agriculture 6.0, sometimes referred to as sustainable and smart agriculture, has been ushered in by the broad integration of modern Information Technology (IT) and traditional agriculture. Smart agriculture addresses automation and intelligence in agriculture. However, information security issues cannot be ignored, given how contemporary digital technology has advanced agriculture. The article starts by giving a summary of the advantages, disadvantages, and difficulties of agriculture's progress from 1.0 to 6.0. In addition to identifying problems and presenting the demands and future opportunities in agriculture, this study concentrated on layered architectural design. Furthermore, we suggested a thorough overview for agriculture 1.0–6.0 that incorporates fog computing, blockchain technology, IoT, AI, ML, and software-defined networking.

Author Biographies

Mushtaque Ahmed Rahu, Department of Electronic Engineering, Quaid-e-Awam University of Engineering Science & Technology, Nawab Shah, Pakistan

Department of Electronics, QUEST Nawab Shah, Sindh, Pakistan

Waqas Ahmed Khaliji, Lecturer, Department of Information Technology, Quaid-e-Awam University of Engineering Science & Technology, Nawab Shah, Pakistan

Lecturer, Department of information Technology, QUEST Nawab Shah, Sindh, Pakistan

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Agriculture 6.0 Leveraging AI, IoT, Machine Learning, and Blockchain for a Sustainable Future