Evidence map›Paper›PMID 38831814›Full record

ReviewHeliyon2024

Implementation and application of APSIM for crop modelling in Ethiopia: A comprehensive review.

Yabebal Chekole Mihret, Girma Moges Ketsela, Smegnew Moges Mintesinot

Abstract readReview
In one paragraph

Review in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Yabebal Chekole MihretFaculty of Mechanical and Industrial Engineering, Bahir Dar Institute of Technology, Bahir Dar University, Bahir Dar, Ethiopia.
Girma Moges KetselaEthiopian Institute of Agricultural Research (EIAR), Addis Ababa, Ethiopia.
Smegnew Moges MintesinotFaculty of Mechanical and Industrial Engineering, Bahir Dar Institute of Technology, Bahir Dar University, Bahir Dar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the 21st century, the practice of agriculture is becoming more interesting, valuable, and attractive by integrating many technologies and systems. Among the different technologies and systems Crop Simulation Models (APSIM, DSSAT, and AquaCrop) are widely used to predict crop yield, forecast climate change impacts, and optimize different management practices including pesticides, water, and fertilizers. Many researchers used these computerized representations of crops worldwide and in Ethiopia for the aforementioned purposes. These crop models were used in Ethiopia by different researchers for yield prediction. Climate change impacts assessment, and the most crucial factor that policymakers and agricultural production system planners should consider when making decisions is the ability of crop simulation models, such as the agricultural production system simulator (APSIM), to save time and resources while improving prediction accuracy. Because most models are poorly or never evaluated, it is unknown if they are useful in the decision-making process. Thus, to simulate the growth, development, yield, and climate change impacts of the chosen crops in Ethiopia, this research reviews the status, application, accuracy of result prediction, challenges, and research opportunities of the APSIM crop simulation model in Ethiopia's agroecological environment.

Indexed as

APSIM maizeAPSIM sorghumAPSIM wheatCSMEthiopia

Identifiers

PMID38831814
PMCPMC11145479

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.