Evidence map›Paper›PMID 37233107›Full record

ArticleInsects2023

Application of Machine Learning Techniques to Discern Optimal Rearing Conditions for Improved Black Soldier Fly Farming.

John Muinde, Chrysantus M Tanga, John Olukuru, Clifford Odhiambo, Henri E Z Tonnang, Kennedy Senagi

Open access · goldAbstract read
In one paragraph

Article in Insects, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.8field-weighted citation impact, top 11% of its field
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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
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

6 authors at 2 institutions in 1 country.

John MuindeInternational Centre of Insect Physiology and Ecology, Nairobi 30772-00100, Kenya.ORCID 0000-0002-8070-1231
Chrysantus M TangaInternational Centre of Insect Physiology and Ecology, Nairobi 30772-00100, Kenya.ORCID 0000-0002-5788-7920
John OlukuruLabAfrica Research Centre, Strathmore University, Nairobi 59857-00200, Kenya.ORCID 0000-0002-8534-2346
Clifford OdhiamboSanergy Limited, Atlanta, GA 550288, USA.
Henri E Z TonnangInternational Centre of Insect Physiology and Ecology, Nairobi 30772-00100, Kenya.ORCID 0000-0002-9424-9186
Kennedy SenagiInternational Centre of Insect Physiology and Ecology, Nairobi 30772-00100, Kenya.ORCID 0000-0002-0757-3907
International Centre of Insect Physiology and Ecology · KEStrathmore University · KE

Funding

Foreign and Commonwealth Office IMC-Grant 21108
6 · The paper itself

Abstract

As the world population continues to grow, there is a need to come up with alternative sources of feed and food to combat the existing challenge of food insecurity across the globe. The use of insects, particularly the black soldier fly (BSF)

Indexed as

black soldier flyinsect for feedinsects farmingInternet of Thingsmachine learning

Identifiers

PMID37233107
PMCPMC10231057
OpenAlexW4377115626

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.