ArticleProceedings of the National Academy of Sciences of the United States of America2023
Development potential of nanoenabled agriculture projected using machine learning.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- New Frontiers in AI-Nano Converged Platforms for Intelligent Diagnostics, Therapeutics, and Safety Evaluation.Chem & bio engineering · 2026Review
- Machine learning-optimized composting strategies can enhance nutrient recycling and transform food system waste into a net carbon sink.Nature food · 2026Article
- Machine learning-based paleobathymetric reconstructions using archaeal lipid biomarkers.Science advances · 2026Article
- Nanoparticle Applications in Plant Biotechnology: A Comprehensive Review.Plants (Basel, Switzerland) · 2026Review
- A Comparative Review: Biological Safety and Sustainability of Metal Nanomaterials Without and with Machine Learning Assistance.Micromachines · 2024Review
- Zinc oxide nanoparticles cooperate with the phyllosphere to promote grain yield and nutritional quality of rice under heatwave stress.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Engineered nanomaterials reduce metal(loid) accumulation and enhance staple food production for sustainable agriculture.Nature food · 2024Article
- Unveiling the role of inorganic nanoparticles in Earth's biochemical evolution through electron transfer dynamics.iScience · 2024Review
- Development potential of nanoenabled agriculture projected using machine learning.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The controllability and targeting of nanoparticles (NPs) offer solutions for precise and sustainable agriculture. However, the development potential of nanoenabled agriculture remains unknown. Here, we build an NP-plant database containing 1,174 datasets and predict (
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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.