ReviewACS omega2026
Advancements and Emerging Trends in the Detection of Sweet Potato Diseases: A Comprehensive Review.
Review in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Review
- From Source to Utilization: A Review of Influencing Factors and Safety Assessment for High-Value Utilization of Sweet Potato (Foods (Basel, Switzerland) · 2026Review
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
Sweet potato is a crop with high yield and adaptability that plays a crucial role in agricultural production and daily life. However, in recent years, the yield and quality of sweet potatoes have been increasingly affected by pathogens, such as fungi, bacteria, and viruses. Rapid and accurate identification and detection of diseases is critical for sustainable sweet potato production. This review first provides a systematic overview of the common diseases that affect sweet potato production, including their pathogens, symptoms, and geographical distribution. Subsequently, we discuss the advantages and challenges of traditional methods, molecular biology-based techniques, and emerging detection technologies for the identification of sweet potato diseases. We believe that the integration of new materials and technologies with artificial intelligence to develop rapid, sensitive, and accurate field-detection techniques or portable detection devices for sweet potato diseases represents a promising direction for future research.
Identifiers
What OpenQuestion holds
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.