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# harvester-prototype | ||
# Harvester Prototype (FertiScan) | ||
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This repository is for the prototyping of the project Harvester. | ||
## Overview Description | ||
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The Harvester project, hosted on Azure DevOps, represents a significant advancement in fertilizer bag inspection. The primary goal of this prototype is to test and validate various potential solutions that could be integrated into the final project. The AI-Lab team, utilizing unit tests, strives to determine the best approach to address issues associated with fertilizer bag inspection. | ||
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## Key Features | ||
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**Gemini Vertex API:** An application programming interface designed to simulate human conversation, capable of answering questions and processing a large number of images. | ||
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**Testing Process:** Rigorous testing is conducted to demonstrate that the Gemini Vertex API, created by Google, is the appropriate method for the Harvester project. It meets various criteria and achieves two main objectives: reading labels during recording and identifying differences with bags analyzed by inspectors. | ||
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## Potential Advantages | ||
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**Increased Efficiency:** By automating fertilizer bag inspection, the project aims to increase the efficiency and accuracy of the inspection process. | ||
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**Advanced Analysis:** Through the integration of the Gemini Vertex API, the system can analyze fertilizer bag labels more thoroughly, identifying not only basic information but also subtle differences that may escape human inspection. | ||
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## Future Outlook | ||
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The Harvester prototype is a crucial step toward realizing a comprehensive automated inspection system. With continuous testing and improvements, it has the potential to transform the way fertilizer bag inspections are conducted, bringing an advanced technological solution to the agricultural sector. | ||
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