Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM49644
Volume:
9 |
6 |
Jun 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
â With an increase in world food production and fewer resources to use, more people are paying attention to solutions like precision agriculture. This literature review investigates how Augmented Reality (AR) influences organic farming, especially when used with the IoT, AI and image processing. While AR is widely used in factories, farmers are now checking plant health, spotting pests and learning from the technology. Trials suggest that using AR with CNNs and sensors helps identify pests early on in their lifecycle, an important factor for achieving both better yields and using fewer pesticides. AR apps make it possible to observe plant growth and suggest means of handling different climates. When SLAM, GPS and remote sensing are joined, AR becomes more accurate. The many examples provided in the survey include different ways that robotics is used in farms for livestock and crops, tackling issues like portable robots and correct data. By joining other tools, AR becomes fundamental for building smart farming systems that are both environmentally friendly and accountable.
KEYWORDS
Publication Date
6/7/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
0
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...