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Red de estaciones meteorológicas FieldClimate – Valle del Jerte

Installation of six FieldClimate weather stations in the Jerte Valley (Extremadura) to obtain climate data representative of different altitudes and exposures.

TERRITORY

SPAIN

AREA TO BE DIGITISED

ICT Infraestructure

SUBSECTOR #1

Agriculture

SUBSECTOR #2

Pome and stone fruit tree

CROP PRODUCTION SYSTEM 1, 2, 3

Irrigated
Conventional
Open-field

TECHNOLOGY

IoT, Cloud Solutions

DIGITAL SOLUTION CATEGORY

Agriculture 4.0 collaborative platforms

STAKEHOLDERS

Agricultural cooperativas and associations

IMPACT

Productivity

Installation of six FieldClimate weather stations in the Jerte Valley (Extremadura) to obtain climate data representative of different altitudes and exposures (shade/sun). The network improves the accuracy of key agronomic calculations—water requirements, degree days, or chill hours—supporting decision-making by technicians and cherry cooperatives.

Farm challenges

  • Lack of representative climate data due to the high altitudinal variability of the valley.
  • The REDAREX public station does not reflect actual conditions in shaded and sunny areas.
  • Need for accurate information to adjust irrigation and cherry tree management.

Assistance / Boost program

Proyecto REFEX (2023). Acción 2 (Regadíos de montaña).

Innovative features of the initiative / solution

  • Distributed network of stations covering different altitudes and orientations.
  • High spatial resolution climate data for precision agriculture.
  • FieldClimate platform enabling download, visualisation and analysis.
  • Improved representativeness compared to the existing public network.

Results obtanied

  • Continuous monitoring in six representative areas of the valley.
  • More accurate calculation of water requirements, degree days and chill hours.
  • Data used by cooperative technicians to optimise cherry tree management.
  • Centralised data maintenance and management through the ACVJ.

Lessons learned

  • Local stations effectively complement public networks when they do not represent the variability of the territory.
  • Technicians quickly adopt the tool when the data is practical and useful for decision-making.
  • The combination of stations and cloud platform improves irrigation efficiency and agronomic planning.