Artificial Intelligence and Agricultural Biotechnology for Sustainable Farming Practices

Kavitha K; Senthil Kumar R

doi:10.34256/ijcci2422

Kavitha K Department of Computer Applications, Dr.N.G.P. Arts and Science College, Coimbatore-641048, Tamil Nadu, India
Senthil Kumar R Department of Computer Applications, Dr.N.G.P. Arts and Science College, Coimbatore-641048, Tamil Nadu, India

Keywords: Agricultural biotechnology, Artificial intelligence (AI), Climate change, Sustainable agriculture, Genetically Modified Organisms (GMOs), Synthetic biotechnology, Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)

Abstract

Agriculture is facing unprecedented challenges, including climate change, resource limitations, and the growing demand for sustainable practices. This article explores how the integration of biotechnology and artificial intelligence (AI) can address these issues. Biotechnology tools such as GMOs, CRISPR-Cas9, and synthetic biology enable the development of robust crops, enhanced pest resistance, and improved resource efficiency. AI complements these advancements through machine learning, predictive analytics, and robotics, facilitating better crop management, health monitoring, and yield prediction. The review highlights AI’s role in refining data analysis for genetic modifications and optimizing crop management strategies, showcasing the synergy between biotechnology and AI. Notable applications include the optimization of CRISPR technologies and the creation of disease-resistant crops. However, significant challenges remain, such as technical limitations, ethical concerns surrounding genetic modifications, and the economic impact on small-scale farmers. Addressing these challenges requires a comprehensive approach involving robust regulatory frameworks and stakeholder collaboration. Future directions include leveraging AI for precision breeding and integrating advancements in synthetic biology to enhance agricultural sustainability and productivity. Continued collaboration between biotechnology and AI will be essential to overcoming current limitations and achieving a sustainable future for agriculture.

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