Human-Machine Collaboration: Augmented Reality in Agriculture
DOI:
https://doi.org/10.55938/wlp.v1i2.109Keywords:
Precision Agriculture, Human-Machine Interaction, Agricultural Robotic Systems, Head-Mounted DisplaysAbstract
The article explores augmented reality's application in agriculture, emphasizing how it might be leveraged to monitor and enhance productivity. It examines hardware techniques and mobility limits and advises integrating AR with other technologies, especially in agricultural production and livestock farming. Applying plant condition assessment and tailored fertilizer, pesticide, and nutrition recommendations, artificial intelligence (AI) can optimize crop well-being and agricultural produce. With an emphasis on nutritional and sensory aspects, food sensory modifications, retail food chain advancements, cooking process expansions, food-related training, and precision farming techniques, this analysis delves into the applications of AR head-mounted displays in agriculture and food. In order to identify and manage insects, the research describes the implementation of a smartphone application that employs augmented reality and transfer learning-based models to take pictures of pests and monitor them in real time. The deployment of digital twins in precision agriculture and crop modeling, along with their potential impact on agricultural practices, are examined in this research. It discusses concerns like integration and data protection while offering recommendations for future research directions.
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Copyright (c) 2024 Aashna Sinha, Shailender Thapliyal, Devendra Singh
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