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Agritech: Part 2
Fair Farms were struggling to grow quality vanilla, as achieving the perfect level of greenhouse humidity and temperature is a complicated affair.
To create an ideal environment, AI & machine learning were implemented to regulate their greenhouse, automate their fanning, misting, and dripping systems, and optimize their resources based on historical data.
Outcomes
The successful automation of cooling, misting, and dripping systems, is all grounded in a multi-language, touch-screen application with simple controls.
An in-depth understanding of challenges via the pilot test, paving the way for future deployment in similar systems.
Our solution was designed for inclusivity—affordable to all and available to everyone. Our primary goal moving forward is to continue to reduce cost and energy consumption, opening the doors for further adoption.
https://www.palo-it.com/en/case-study/agritech
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By Fair Farms were struggling to grow quality vanilla, as achieving the perfect level of greenhouse humidity and temperature is a complicated affair.
To create an ideal environment, AI & machine learning were implemented to regulate their greenhouse, automate their fanning, misting, and dripping systems, and optimize their resources based on historical data.
Outcomes
The successful automation of cooling, misting, and dripping systems, is all grounded in a multi-language, touch-screen application with simple controls.
An in-depth understanding of challenges via the pilot test, paving the way for future deployment in similar systems.
Our solution was designed for inclusivity—affordable to all and available to everyone. Our primary goal moving forward is to continue to reduce cost and energy consumption, opening the doors for further adoption.
https://www.palo-it.com/en/case-study/agritech