Evidence map›Paper›PMID 36991638›Full record

ArticleSensors (Basel, Switzerland)2023

Lettuce Production in Intelligent Greenhouses-3D Imaging and Computer Vision for Plant Spacing Decisions.

Anna Selini Petropoulou, Bart van Marrewijk, Feije de Zwart, Anne Elings, Monique Bijlaard, Tim van Daalen, Guido Jansen, Silke Hemming

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Anna Selini PetropoulouBusiness Unit Greenhouse Horticulture, Wageningen University & Research (WUR), 6708 PB Wageningen, The Netherlands.ORCID 0000-0003-4311-5070
Bart van MarrewijkBusiness Unit Greenhouse Horticulture, Wageningen University & Research (WUR), 6708 PB Wageningen, The Netherlands.ORCID 0000-0003-3681-8114
Feije de ZwartBusiness Unit Greenhouse Horticulture, Wageningen University & Research (WUR), 6708 PB Wageningen, The Netherlands.ORCID 0000-0001-9636-5028
Anne ElingsBusiness Unit Greenhouse Horticulture, Wageningen University & Research (WUR), 6708 PB Wageningen, The Netherlands.ORCID 0000-0002-6968-1305
Monique BijlaardBusiness Unit Greenhouse Horticulture, Wageningen University & Research (WUR), 6708 PB Wageningen, The Netherlands.
Tim van DaalenBusiness Unit Greenhouse Horticulture, Wageningen University & Research (WUR), 6708 PB Wageningen, The Netherlands.
Guido JansenBusiness Unit Greenhouse Horticulture, Wageningen University & Research (WUR), 6708 PB Wageningen, The Netherlands.ORCID 0009-0002-2310-0146
Silke HemmingBusiness Unit Greenhouse Horticulture, Wageningen University & Research (WUR), 6708 PB Wageningen, The Netherlands.ORCID 0000-0001-6638-7453

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies indicate that food demand will increase by 35-56% over the period 2010-2050 due to population increase, economic development, and urbanization. Greenhouse systems allow for the sustainable intensification of food production with demonstrated high crop production per cultivation area. Breakthroughs in resource-efficient fresh food production merging horticultural and AI expertise take place with the international competition "Autonomous Greenhouse Challenge". This paper describes and analyzes the results of the third edition of this competition. The competition's goal is the realization of the highest net profit in fully autonomous lettuce production. Two cultivation cycles were conducted in six high-tech greenhouse compartments with operational greenhouse decision-making realized at a distance and individually by algorithms of international participating teams. Algorithms were developed based on time series sensor data of the greenhouse climate and crop images. High crop yield and quality, short growing cycles, and low use of resources such as energy for heating, electricity for artificial light, and CO

Indexed as

Imaging, Three-DimensionalLactucaClimateComputersCrop Productionartificial intelligenceautonomous greenhousesclimate controlcomputer visiondata driven growingindoor farminglettuceplant spacingremote controlsensors

Identifiers

PMID36991638
PMCPMC10052086

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.