AIMC Topic: Agrochemicals

Clear Filters Showing 1 to 9 of 9 articles

A predictive framework using advanced machine learning approaches for measuring and analyzing the impact of synthetic agrochemicals on human health.

Scientific reports May 3, 2025
Pesticides and other synthetic agrochemicals play a critical role in emerging agricultural practices by enhancing crop productivity and protecting against pests and diseases. However, their widespread application has raised significant concerns about...
Risk Assessment Pesticides Agrochemicals Machine Learning Algorithms Humans
View on PubMed DOI

Schistosomiasis transmission: A machine learning analysis reveals the importance of agrochemicals on snail abundance in Rwanda.

PLoS neglected tropical diseases Dec 9, 2024
BACKGROUND: Schistosomiasis is an important snail-borne parasitic disease whose transmission is exacerbated by water resource management activities. In Rwanda, meeting the growing population's demand for food has led to wetlands reclamation for culti...
Agrochemicals Biomphalaria Bulinus Wetlands Schistosomiasis Humans Machine Learning Snails Rwanda Animals
View on PubMed DOI

Computational prediction of the metabolites of agrochemicals formed in rats.

The Science of the total environment Jun 22, 2023
Today, computational tools for the prediction of the metabolite structures of xenobiotics are widely available and employed in small-molecule research. Reflecting the availability of measured data, these in silico tools are trained and validated prim...
Machine Learning Xenobiotics Agrochemicals Inactivation, Metabolic Animals Rats
View on PubMed DOI

Surface-enhanced Raman spectroscopy charged probes under inverted superhydrophobic platform for detection of agricultural chemicals residues in rice combined with lightweight deep learning network.

Analytica chimica acta Apr 24, 2023
In this study, surface-enhanced Raman spectroscopy (SERS) charged probes and an inverted superhydrophobic platform were used to develop a detection method for agricultural chemicals residues (ACRs) in rice combined with lightweight deep learning netw...
Deep Learning Spectrum Analysis, Raman Agrochemicals Chlormequat Oryza Hydrophobic and Hydrophilic Interactions Metal Nanoparticles
View on PubMed DOI

Magnetic Biohybrid Robots as Efficient Drug Carrier to Generate Plant Cell Clones.

Small (Weinheim an der Bergstrasse, Germany) May 10, 2022
Micro/nanorobots represent a new generation of micromachines that can accomplish various tasks, such as loading and transporting specific targets or pharmaceuticals for a given application. Biohybrid robots consisting of biological cells (bacteria, s...
Agrochemicals Magnetic Fields Plant Cells Drug Carriers Robotics Clone Cells
View on PubMed DOI

Nanotechnology and artificial intelligence to enable sustainable and precision agriculture.

Nature plants Jun 24, 2021
Climate change, increasing populations, competing demands on land for production of biofuels and declining soil quality are challenging global food security. Finding sustainable solutions requires bold new approaches and integration of knowledge from...
Crop Production Agrochemicals Nanotechnology Crops, Agricultural Artificial Intelligence Sustainable Development
View on PubMed DOI

Identification of early liver toxicity gene biomarkers using comparative supervised machine learning.

Scientific reports Nov 5, 2020
Screening agrochemicals and pharmaceuticals for potential liver toxicity is required for regulatory approval and is an expensive and time-consuming process. The identification and utilization of early exposure gene signatures and robust predictive mo...
Agrochemicals Algorithms Animals Male Rats Genetic Markers Supervised Machine Learning Liver Oligonucleotide Array Sequence Analysis Chemical and Drug Induced Liver Injury Gene Expression Regulation
View on PubMed DOI

Chemical crystal identification with deep learning machine vision.

BMC research notes Oct 5, 2018
OBJECTIVE: This study was carried out with the purpose of testing the ability of deep learning machine vision to identify microscopic objects and geometries found in chemical crystal structures.
Deep Learning Microscopy Pattern Recognition, Automated Image Processing, Computer-Assisted Agrochemicals
View on PubMed DOI

Technology: The Future of Agriculture.

Nature Apr 26, 2017
Agrochemicals Technology Transfer Remote Sensing Technology Depth Perception Animal Diseases Crop Production Fruit Time Factors Abattoirs Quality Control Agriculture Clinical Alarms Robotics Monitoring, Physiologic Plant Weeds Mobile Applications Plant Diseases Animals Automation Livestock Vegetables Lasers Animal Husbandry Pesticides Machine Learning Soil
View on PubMed DOI
Popular Topics
Recent Journals