AR-Based Organic Farming

Abstract - 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. Key Words: Augmented Reality (AR), Precision Agriculture, Organic Farming, Internet of Things (IoT), Artificial Intelligence (AI), Pest Detection, Smart Farming Systems.

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-06-09
DOI
https://doi.org/10.55041/ijsrem49644
Primary Topic
Architecture and Computational Design
Type
article
Field-Weighted Citation Impact
0.00
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article

AR-Based Organic Farming

G Shreyas
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Architecture and Computational Design
article

AR-Based Organic Farming

G Shreyas
article en

Abstract

Abstract - 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. Key Words: Augmented Reality (AR), Precision Agriculture, Organic Farming, Internet of Things (IoT), Artificial Intelligence (AI), Pest Detection, Smart Farming Systems.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(06)
Openalex Percentile: Top 87%
Architecture and Computational Design
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