Smart Wine: Libelium’s IoT technology allows predictive control of vineyards in the Pago Aylés winery, Spain
The IoT technology applied to precision agriculture provides great benefits such as improved productivity, cost savings and increased predictive capacity in determining strain behaviour during the grape ripening process.
The Pago Aylés winery, in collaboration with the expertise team in measurement agriculture from the company remOT Technologies, has invested in an IoT project with Libelium technology in order to gain efficient production and a predictive vineyard management model. Leading to the best decisions based on objective data.
remOT is a Spanish company, founded in 2016, as a result of the research activity of the Geoforest group of the University of Zaragoza. It has more than 10 years of experience in satellite image interpretation, mapping and geographic information systems, using the latest technologies for spatial analysis. remOT provides added value to its clients by incorporating and processing spatial information in diverse sectors such as IoT or measurement agriculture, with products such as Agrimes.
Location of Pago Aylés winery
Pago Aylés is a winery dedicated to the elaboration of aging wines and is the only winery qualified with the “Pago” status in the autonomous community of Aragon. A pago is a rural area which has unique characteristics in both its soil and microclimate distinguishing and differentiating it from surrounding sites and whose vineyards produce wines with singular qualities. Pago wines are highly regarded by consumers, this is recognised by European Union regulators with the imposition of higher quality and production standards. In the Spanish wine quality pyramid, Pago wines rank at the highest level.
The historical origins of the winery reach as far back as the middle ages. In the 12th century, Cistercian monks occupied the 3,000 hectares of the property and produced their first wines on the same land. In the 90s, the Ramón family took over the farm renovating, modernizing and developing production. The Ramón family have since strived for the highest possible quality and thus obtained the standard of “Vinos de Pago.”
Inmaculada Ramón, technical director and area production manager explains the objective of this innovation project is to establish and model predictive behaviour patterns in the vineyard in terms of quality, production, biological cycles, potential pests and diseases. She says “it is necessary to have accurate information to know when and how to irrigate, when the vines need treatment, what the optimum vigour is and even what our optimal production capacity can be.”
In the first year of the project, the winery expects to obtain a 25% increase in quality associated with improved knowledge. This will allow them to improve future management of resources in relation to production objectives. In addition, return on investments is expected to reach 30% due to reduction in information management costs and a 10-50% reduction in production costs depending on the vintage.
Technicians from Libelium and remOT installing Waspmote Plug & Sense! Smart Agriculture nodes
Julio Prieto, winery agronomist, directs the project. Under his direction, the project has combined agricultural measurements with sensor technology. Creating a network of mesh with more than 100 manual checkpoints across approximately 25 measurement parameters. Thus, by placing measurement equipment with different parameters in strategic positions patterns of behaviour and predictive models have been obtained. Within the predictive models, recorded data is combined with in-situ measurements and data provided by agroclimatic stations and soil sensors.
“We have an urgent need to obtain information that allows us to make early decisions on production strategy. Allowing us to standardize production in terms of quality and quantity” explains Prieto.
Configuration of the Waspmote Plug & Sense! Smart Agriculture
“In qualitative terms, the better knowledge we have of our production, the greater our ability to maintain the final quality of the product. This is essential to be able to maintain our market position at high quality-price levels” adds Prieto. “What’s more, quantitatively, the improvement of knowledge-based management gives greater room for manoeuvre in making decisions that minimize risk and reduce maintenance costs. Which provides greater efficiency and lower production costs than our competitors” he concludes.
Aylés Project Diagram
To this end, two Waspmote Plug & Sense! Smart Agriculture devices were installed in the vineyards that automatically monitors the following parameters:
- Temperature, humidity and environmental pressure.
- Soil temperature.
- Ground humidity.
- Rainfall, wind speed and direction.
Waspmote Plug & Sense! Smart Agriculture at Pago Aylés Winery
The collated data is sent by 4G directly to the Microsoft Azure cloud. For this specific project, the winery has chosen the Agrimés solution, a web application that works with Microsoft’s Azure cloud. With this application, developed by remOT Technologies, the user can view the data in a values table or chart format and compare the same parameters on different dates.
All parties involved in the project, the winery, and agronomist directing the installation, have highlighted the reliability and robustness of Libelium’s technology and are satisfied users of Plug & Sense! Smart Agriculture solution.
Click on the picture to see Pago de Aylés project data
The “S de Aylés” wine from 2015 has recently been awarded the Gran Bacchus de Oro prize at the 16th edition of the Bacchus International Wine Competition organised by the Spanish Wine Tasters Union, which brings together 10 Masters of Wine in a panel of 85 tasters. Only 10 wines obtain this international recognition each year.
This case study helps to achieve the following Sustainable Development Goals:
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- For technical details on Waspmote Plug & Sense! Smart Agriculture: Waspmote Plug & Sense! Smart Agriculture Technical Guide.
- Read more about Libelium sensor product lines in the Waspmote, Waspmote Plug & Sense! Sensor Platform and Meshlium Gateway websites.
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