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Access Models for Quantum Computing in Agriculture
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Author(s): Kaushalya Thopate (Vishwakarma Institute of Technology, India), Rajesh Jalnekar (Vishwakarma Institute of Technology, India), Mukund Kulkarni (Vishwakarma Institute of Technology, India), Kiran Ingale (Vishwakarma Institute of Technology, India), Suhas Bhise (Vishwakarma Institute of Technology, India)and Tanvi Pokale (Vishwakarma Institute of Technology, India)
Copyright: 2026
Pages: 52
Source title:
Revolutionizing Sustainable Food Production With Quantum Computing
Source Author(s)/Editor(s): Mong Fong Horng (National Kaohsiung University of Science and Technology, Taiwan), Osamah Ibrahim Khalaf (Al-Nahrain University, Iraq), Chin-Shiuh Shieh (National Kaohsiung University of Science and Technology, Taiwan)and Vishal Jain (School of Engineering and Technology, Vivekananda Institute of Professional Studies, New Delhi, India)
DOI: 10.4018/979-8-3373-3957-3.ch002
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Abstract
In this chapter, we explore access models for quantum computing in agriculture, with an emphasis on cloud-based, on-premises, and hybrid quantum-classical implementations. It defines basic tenets of quantum and how they would be utilized in agriculture areas including crop optimization, supply chain logistics, and climate forecasting. The conversation encompasses contemporary issues such as hardware restrictions, financial obstacles, poor connectivity in remote regions, and fears about data security. Enabling technologies, such as quantum software stack and integration with IoT, are also investigated. Policy and regulatory considerations are also evaluated to promote fair adoption. Lastly, prospects are the sustainable quantum infrastructure and its synergy with the AI and quantum computing for innovation and efficiency in agriculture.
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