ArticleFrontiers in plant science2020
Machine Learning Unmasked Nutritional Imbalances on the Medicinal Plant
Article in Frontiers in plant science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed.
- Decoding the cannabis tissue culture puzzle: Machine learning analysis of cannabis in vitro morpho-physiological disorders expands the potential for precision micropropagation.Journal, genetic engineering & biotechnology · 2025Article
- Optimizing PGRs for in vitro shoot proliferation of pomegranate with bayesian-tuned ensemble stacking regression and NSGA-II: a comparative evaluation of machine learning models.Plant methods · 2024Article
- Explainable Machine Learning Techniques to Predict Muscle Injuries in Professional Soccer Players through Biomechanical Analysis.Sensors (Basel, Switzerland) · 2023Article
- History, Phylogeny, Biodiversity, and New Computer-Based Tools for Efficient Micropropagation and Conservation of Pistachio (Plants (Basel, Switzerland) · 2023Review
- Challenges and potentials of new breeding techniques inFrontiers in plant science · 2023Review
- Predictive modeling of Persian walnut (Juglans regia L.) in vitro proliferation media using machine learning approaches: a comparative study of ANN, KNN and GEP models.Plant methods · 2022Article
- Neurofuzzy logic predicts a fine-tuning metabolic reprogramming on elicitedFrontiers in plant science · 2022Article
- The Combination of Untargeted Metabolomics and Machine Learning Predicts the Biosynthesis of Phenolic Compounds inPlants (Basel, Switzerland) · 2021Article
- Comparative Analysis of Machine Learning and Evolutionary Optimization Algorithms for Precision Micropropagation ofFrontiers in plant science · 2021Article
- From Ethnomedicine to Plant Biotechnology and Machine Learning: The Valorization of the Medicinal PlantPharmaceuticals (Basel, Switzerland) · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Plant nutrition is a crucial factor that is usually underestimated when designing plant
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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.