October 2024
Intermediate to advanced
560 pages
14h 37m
English
book
Genomics at the Nexus of AI, Computer Vision, and Machine Learning
by Shilpa Choudhary, Sandeep Kumar, Swathi Gowroju, Monali Gulhane, R. Sri Lakshmi
Content preview from Genomics at the Nexus of AI, Computer Vision, and Machine Learning
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15Genomics-Driven Strategies for Sustainable Crop Improvement in Agriculture
Munish Kumar1*, Monika Kajal2, Mandeep Kumar3, Ramesh Kumar4 and Pramadvara Kushwaha5
1Department of Computer Science and Engineering, Koneru Lakshmaiah Educational Foundation, Vijayawada, India
2Department of Plant Biology, Carnegie Institution for Science, Stanford, California, USA
3Department of Law, Sharda University, Greater Noida, India
4Department of Law, Kurukshetra University Kurukshetra, Haryana, India
5Department of Law, Galgotias University, Greater Noida, India
Abstract
In the face of a burgeoning global population and mounting environmental challenges, ensuring sustainable food security necessitates a paradigm shift in agricultural practices. Genomics, encompassing the study of an organism’s genetic makeup, has emerged as a transformative tool. This chapter delves into the pivotal role of genomics in sustainable crop improvement, exploring how cutting-edge genomic technologies and methodologies are shaping the future of agriculture. This chapter delves into the crucial role of genomics in agriculture, specifically focusing on its impact on sustainable crop improvement. The study elucidates the transformative potential of genomics in shaping a new paradigm for crop enhancement through meticulously exploring cutting-edge genomic technologies and methodologies. The abstract encapsulates the critical findings of the research, emphasizing the integration of genomic strategies that contribute ...
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