{"id":13479,"date":"2025-11-05T08:15:17","date_gmt":"2025-11-05T08:15:17","guid":{"rendered":"https:\/\/agerpix.com\/articulos\/what-is-computer-vision-its-use-in-agriculture\/"},"modified":"2026-01-16T11:57:40","modified_gmt":"2026-01-16T11:57:40","slug":"what-is-computer-vision-its-use-in-agriculture","status":"publish","type":"articulos","link":"https:\/\/agerpix.com\/en\/articulos\/what-is-computer-vision-its-use-in-agriculture\/","title":{"rendered":"What is computer vision? Its use in agriculture
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At Agerpix, we develop technology that transforms the way we observe and manage the field.
Our computer vision cameras capture, analyze, and convert images into high-value data to optimize every agricultural and industrial process.
Below, we show you how this technology is applied throughout the entire agri-food value chain.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t

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In the field: fruit detection and counting<\/h4>\t\t\t\t<\/div>\n\t\t\t\t
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El primer paso para planificar una campa\u00f1a con \u00e9xito es conocer, con precisi\u00f3n, qu\u00e9 hay en el campo. Nuestras c\u00e1maras de visi\u00f3n artificial capturan im\u00e1genes de las plantaciones y detectan autom\u00e1ticamente los frutos visibles sobre el \u00e1rbol con una precisi\u00f3n de entre el 90 y el 95 %<\/strong>. <\/p>

Each fruit is georeferenced, allowing precise mapping within the plot and the creation of high-resolution productivity maps.<\/p>


This information is key for anticipating yields, organizing harvesting crews, planning logistics, and improving commercial decision-making. Computer vision transforms manual observation into objective, measurable data, reducing uncertainty and increasing efficiency.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\r\n\t\t

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In nurseries: growth monitoring
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In nurseries, where every detail matters to ensure healthier and more productive plants, computer vision allows real-time monitoring of plant growth and vigor.<\/p>

Through multispectral cameras, parameters such as phenological stage, vegetative development, and crop uniformity can be analyzed.
This continuous monitoring facilitates irrigation planning, quality control, and optimization of space and resources.
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Thanks to this technology, it is possible to anticipate development issues, improve the traceability of plant material, and reduce production times.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\r\n\t\t

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In agroindustry: process control
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Computer vision not only applies to the field but also plays a crucial role in industrial environments.
Our cameras allow for real-time monitoring of processing lines, providing automatic data on product flow. <\/p>

For example, in a corn processing plant, cameras record the total volume entering the factory, the percentage of usable product, and the waste.
This data is directly integrated into digital platforms, providing complete traceability from truck unloading to final packaging.
This allows companies to measure process efficiency, reduce losses, and improve food waste management. <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\r\n\t\t

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Each image captured by our cameras translates into valuable information for decision-making.
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The combination of computer vision, artificial intelligence, and Big Data allows thousands of data points to be analyzed in seconds, generating automatic and accurate reports.
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This information helps to:
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  • Identify growth or production patterns.
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  • Detect deviations or issues before they impact performance.
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  • Optimize resources such as water, fertilizers, and labor.
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    Computer vision is ultimately a strategic tool that turns observation into action.<\/p>

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    Would you like to integrate computer vision into your business?
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    \"\ud83d\udc49\" Contact us and we\u2019ll help you transform your processes with real technology applied to the field and industry.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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