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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM29725

Advancements in Precision Agriculture: Integrating Computer Vision for Intelligent Soil and Crop Monitoring in the Era of Artificial Intelligence

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM29725

Volume:

8 |

3 |

Mar 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM29725

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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DMC

Dr. Mukesh Choudhary

JOB

Jeffrey Obiri Boahen

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Abstract

Precision Agriculture has witnessed significant advancements with the integration of computer vision and artificial intelligence (AI) technologies, marking a transformative era in modern farming practices. This research explores the synergies between computer vision and intelligent soil and crop monitoring in the context of precision agriculture. The study aims to contribute insights into the application of advanced technologies for optimizing agricultural processes, enhancing resource efficiency, and improving overall crop yield.

KEYWORDS

Precision Agriculture Computer Vision Artificial Intelligence Soil Monitoring Crop Monitoring Image Processing Machine Learning Deep Learning Agricultural Technology Intelligent Farming Data Analytics Precision Farming Sensor Technologies Agricultural Innovation Sustainable Agriculture.

Cite This Article

Dr. Mukesh Choudhary, Jeffrey Obiri Boahen, "Advancements in Precision Agriculture: Integrating Computer Vision for Intelligent Soil and Crop Monitoring in the Era of Artificial Intelligence," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 3, Mar 2024. https://doi.org/10.55041/IJSREM29725

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12/31/45377

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The authors declare no conflict of interest related to this research work.

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