TY - DATA
T1 - Autonomous Greenhouse Challenge, First Edition (2018)
PY - 2019/03/29
AU - S. (Silke) Hemming
AU - H.F. (Feije) de Zwart
AU - A. (Anne) Elings
AU - Isabella Righini
AU - A. (Anna) Petropoulou
UR - https://data.4tu.nl/articles/dataset/Autonomous_Greenhouse_Challenge_First_Edition_2018_/12717758/1
DO - 10.4121/uuid:e4987a7b-04dd-4c89-9b18-883aad30ba9a
KW - Climate set points
KW - Crop management
KW - Cucumber
KW - Greenhouse climate
KW - Harvest
KW - Irrigation
KW - Outside weather
KW - Pruning
KW - Resource consumption
N2 - 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).
ER -