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Autonomous Greenhouse Challenge, First Edition (2018)

dataset
posted on 29.03.2019 by S. (Silke) Hemming, H.F. (Feije) de Zwart, A. (Anne) Elings, Isabella Righini, A. (Anna) Petropoulou
The dataset contains data on greenhouse climate, irrigation, outside weather, greenhouse climate set points, harvest and crop management, resource consumption. Data were collected during a 4-month cucumber production (cv. Hi Power) in 6 glasshouse compartments (96 m2), located in Bleiswijk (The Netherlands). The dataset contains raw and processed data. Raw data were collected via climate measuring boxes, climate and irrigation process computer, manual registrations, outside weather station. The dataset was produced during the first edition of Autonomous Greenhouse Challenge, an international competition aiming at using Artificial Intelligence algorithms for the remote control of greenhouse horticulture production. Five international teams consisting of scientists, professionals and students participated in this experiment. The teams' names are: iGrow, deep_greens, AiCU, Sonoma, Croperators. They developed AI algorithms to remotely determine the Climate control set points and they additionally sent instructions for the crop pruning strategy. They had to realize the highest yield with minimal use of resources (e.g. water, CO2). The achievements in AI-controlled compartments were compared with a reference compartment, operated manually by three Dutch commercial growers (named Reference).

History

Contributors

Wageningen University & Research, Greenhouuse Horticulture

Publisher

4TU.Centre for Research Data

Time coverage

2018-08/2018-12

Geolocation

Wageningen UR Greenhouse Horticulture, Violierenweg 1, Bleiswijk (The Netherlands)

Geolocation Longitude

4.530938

Geolocation Latitude

52.03203

Format

media types: application/pdf, application/zip, text/csv

Licence

Exports