Enhancing Sustainability in Agriculture through Artificial Intelligence

This research investigates the transformative role of artificial intelligence (AI) in making agriculture more sustainable, addressing one of the most pressing challenges of our time—balancing food production with environmental conservation. AI-driven technologies are reshaping traditional farming by optimizing various processes, including precision farming, resource management, and crop monitoring. Precision agriculture allows farmers to apply resources like water, fertilizers, and pesticides with pinpoint accuracy, reducing waste and minimizing environmental impact. AI also enhances resource management by analyzing real-time data from sensors and satellite imagery, helping farmers make data-driven decisions to maximize yields while conserving essential resources like soil and water. The research further explores AI’s role in monitoring crops, predicting diseases, and identifying optimal harvesting times, which increases efficiency and reduces crop loss. Through an analysis of case studies, the paper examines how cutting-edge technologies, such as machine learning algorithms, drone systems, and IoT devices, are being implemented in various farming environments around the world. The findings reveal how AI contributes not only to increased productivity but also to sustainable agricultural practices that combat soil degradation, reduce greenhouse gas emissions, and support biodiversity. Moreover, this study addresses the potential challenges and barriers to AI adoption, such as high initial costs, lack of technical expertise, and infrastructure limitations, particularly in developing regions. By highlighting the intersection of AI and sustainability, this research demonstrates how AI can help agriculture meet the growing global demand for food while mitigating its environmental footprint. The paper concludes by outlining the long-term implications of AI in shaping the future of farming and its crucial role in global efforts to achieve food security and environmental sustainability.

Authors

Publication Details

Journal
International Scientific Journal of Engineering and Management
Published
2024-12-30
DOI
https://doi.org/10.55041/isjem02192
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
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article

Enhancing Sustainability in Agriculture through Artificial Intelligence

Pankaj Kumar, Ram B. Khadka
International Scientific Journal of Engineering and Management
Smart Agriculture and AI
article

Enhancing Sustainability in Agriculture through Artificial Intelligence

Pankaj Kumar, Ram B. Khadka
article en

Abstract

This research investigates the transformative role of artificial intelligence (AI) in making agriculture more sustainable, addressing one of the most pressing challenges of our time—balancing food production with environmental conservation. AI-driven technologies are reshaping traditional farming by optimizing various processes, including precision farming, resource management, and crop monitoring. Precision agriculture allows farmers to apply resources like water, fertilizers, and pesticides with pinpoint accuracy, reducing waste and minimizing environmental impact. AI also enhances resource management by analyzing real-time data from sensors and satellite imagery, helping farmers make data-driven decisions to maximize yields while conserving essential resources like soil and water. The research further explores AI’s role in monitoring crops, predicting diseases, and identifying optimal harvesting times, which increases efficiency and reduces crop loss. Through an analysis of case studies, the paper examines how cutting-edge technologies, such as machine learning algorithms, drone systems, and IoT devices, are being implemented in various farming environments around the world. The findings reveal how AI contributes not only to increased productivity but also to sustainable agricultural practices that combat soil degradation, reduce greenhouse gas emissions, and support biodiversity. Moreover, this study addresses the potential challenges and barriers to AI adoption, such as high initial costs, lack of technical expertise, and infrastructure limitations, particularly in developing regions. By highlighting the intersection of AI and sustainability, this research demonstrates how AI can help agriculture meet the growing global demand for food while mitigating its environmental footprint. The paper concludes by outlining the long-term implications of AI in shaping the future of farming and its crucial role in global efforts to achieve food security and environmental sustainability.

International Scientific Journal of Engineering and ManagementVol. 03(12)
Zero hunger
Openalex Percentile: Top 86%
Smart Agriculture and AI
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