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Integrating Traditional Ecological Knowledge With Fuzzy Logic and Quantum Computing for Sustainable Agriculture in Tribal Areas of Tripura
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Author(s): Nandini Gupta (Bir Bikram Memorial College, India), Ajoy Kanti Das (Tripura University, India)and Carlos Granados (Universidad de Sucre, Colombia)
Copyright: 2026
Pages: 38
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.ch006
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Abstract
This chapter examines the relationship between fuzzy logic, quantum computing, and traditional ecological knowledge (ππΌπ) about sustainable agriculture in tribal environments, with a special emphasis on the northeast Indian state of Tripura. We suggest a hybrid decision-support framework that can handle the intricate, unpredictable, and dynamic character of agricultural decision-making in climate-vulnerable, culturally diverse regions by fusing traditional knowledge with state-of-the-art technologies. The theoretical underpinnings of fuzzy logic and quantum computing, their applicability to agriculture, their potential for collaboration, and a suggested model specifically designed for tribal societies are all covered in this chapter. We illustrate the viability and transformative potential of this integration via case studies, emphasizing how it can influence policy and strengthen the position of Indigenous people in Tripura.
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