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Part of book or chapter of book . 2025
License: CC BY
Data sources: Datacite
ZENODO
Part of book or chapter of book . 2025
License: CC BY
Data sources: Datacite
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Precision Agriculture and Biotechnology

Authors: Dr. Akhilesh Saini;

Precision Agriculture and Biotechnology

Abstract

Precision farming harnesses technology and data analysis to optimize agricultural practices. When integrated with biotechnology, it offers transformative possibilities for achieving efficient, sustainable, and high-yield crop production. Traditional farming methods often struggle to meet rising food demands while maintaining environmental sustainability. In this context, the convergence of precision agriculture and biotechnology emerges as a game-changing solution. Biotechnology has revolutionized agriculture by enabling scientists to manipulate the genetic makeup of crops. Techniques such as genetic modification, marker-assisted breeding, and gene editing have led to the development of crops with enhanced resistance to diseases, pests, and adverse environmental conditions. These targeted innovations align closely with the core principles of precision farming, which aims to maximize yields while minimizing resource inputs. Furthermore, this integration brings data analytics and artificial intelligence into mainstream farming. By collecting and analyzing data from diverse sources, farmers can gain a comprehensive understanding of their fields. These insights support informed decision-making, improved crop management, and increased agricultural productivity. However, the advancement of these technologies must be pursued responsibly. Ethical considerations surrounding genetically modified organisms (GMOs), regulatory challenges, and the equitable distribution of benefits across different regions and communities must be thoughtfully addressed.

Keywords

Precision Farming; Biotechnology; Genetic Modification; Marker-Assisted Breeding; Genetically Modified Organisms; Artificial Intelligence in Agriculture

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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