IoT Enabled Technologies in Smart Farming and Challenges for Adoption

被引:0
|
作者
Kumar, Rajesh [1 ]
Sinwar, Deepak [1 ]
Pandey, Amit [2 ]
Tadele, Tesfaye [3 ]
Singh, Vijander [4 ]
Raghuwanshi, Ghanshyam [1 ]
机构
[1] Department of Computer and Communication Engineering, Manipal University Jaipur, Jaipur, India
[2] Department of Computer Science, College of Informatics, Bule Hora University, Bule Hora, Ethiopia
[3] Department of Information Technology, College of Informatics, Bule Hora University, Bule Hora, Ethiopia
[4] Department of Computer Science and Engineering, Manipal University Jaipur, Jaipur, India
来源
Studies in Big Data | 2021年 / 99卷
关键词
Cyberspaces - Emerging technologies - Food security - Minimum cost - Network virtualization - Renewable energies - Smart farming - Wireless technologies - World population - Yield production;
D O I
10.1007/978-981-16-6210-2_7
中图分类号
学科分类号
摘要
Technologies are transforming the universe with the help of digitalization, where IoT is leading in digitalization in almost every field such as health care, agriculture, livestock management, smart houses, cities, renewable energy management, cyberspace environment, etc. 5G wireless technology is also playing a vital role in the management of these IoT devices due to its unique network virtualization functionality. Traditional agricultural methods are continuously changing due to the involvement of the emerging technologies. Food security and food safety are the big concerns in the recent years, and it is expected that up to 2050 world population will grow approximately 33% of the total world population. It is foremost required to adopt smart technology in farming that can help in maximizing food production with minimum cost. Smart farming is a key interest of the scientific community to increase the yield production with minimum cost because due to urbanization agriculture land is continuously depleted. Smart farming uses AI/ML techniques, IoT infrastructure devices, computer vision technology, and unmanned aerial or ground vehicles to maximize the yield productions with minimum production cost. The work embodied in this chapter is focused on how smart farming is digitally transforming using emerging technologies such as machine learning, IoT, computer vision, unmanned aerial vehicles. Several key challenges for the adopting smart farming are also discussed for providing sufficient information before actual implementation. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022.
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页码:141 / 164
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