ArticleScientific reports2022
Coupled online sequential extreme learning machine model with ant colony optimization algorithm for wheat yield prediction.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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.
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Who cites it
7 citing papers in PubMed.
- Parallel ensemble of a randomization-based online sequential neural network for classification problems using a frequency criterion.Scientific reports · 2024Article
- GOA-optimized deep learning for soybean yield estimation using multi-source remote sensing data.Scientific reports · 2024Article
- White blood cell image analysis for infection detection based on virtual hexagonal trellis (VHT) by using deep learning.Scientific reports · 2023Article
- Boosting ridge for the extreme learning machine globally optimised for classification and regression problems.Scientific reports · 2023Article
- A clustering-based competitive particle swarm optimization with grid ranking for multi-objective optimization problems.Scientific reports · 2023Article
- Improved Fitness-Dependent Optimizer for Solving Economic Load Dispatch Problem.Computational intelligence and neuroscience · 2022Review
- Construction of Predictive Model for Type 2 Diabetic Retinopathy Based on Extreme Learning Machine.Diabetes, metabolic syndrome and obesity : targets and therapy · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Inadequate agricultural planning compounded by inaccurate predictions results in an inflated local market rate and prompts higher importation of wheat. To tackle this problem, this research has designed two-phase universal machine learning (ML) model to predict wheat yield (W
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Registered trials
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.