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Pesticides

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Trace Identification and Visualization of Multiple Benzimidazole Pesticide Residues on Leaves Using Terahertz Imaging Combined with Deep Learning.

International journal of molecular sciences Mar 26, 2021
Molecular spectroscopy has been widely used to identify pesticides. The main limitation of this approach is the difficulty of identifying pesticides with similar molecular structures. When these pesticide residues are in trace and mixed states in pla...
Fuzzy Logic Cluster Analysis Plant Leaves Density Functional Theory Neural Networks, Computer Reproducibility of Results Deep Learning Benzimidazoles Terahertz Imaging Thiabendazole Toona Pesticides Food Safety Carbamates Pesticide Residues
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Prediction of Oral Acute Toxicity of Organophosphates Using QSAR Methods.

Current computer-aided drug design Jan 1, 2021
AIMS: Prediction of oral acute toxicity of organophosphates using QSAR methods.
Reproducibility of Results Toxicity Tests, Acute Models, Molecular Administration, Oral Organophosphates Neural Networks, Computer Algorithms Pesticides Linear Models Quantitative Structure-Activity Relationship Lethal Dose 50
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Prediction of Soil Adsorption Coefficient in Pesticides Using Physicochemical Properties and Molecular Descriptors by Machine Learning Models.

Environmental toxicology and chemistry Jul 1, 2020
The soil adsorption coefficient (K ) plays an important role in environmental risk assessment of pesticide registration. Based on this risk assessment, applied and registered pesticides can be allowed in the European Union. Almost 1 yr is required to...
Machine Learning Soil Risk Assessment Adsorption Chemical Phenomena Decision Trees Quantitative Structure-Activity Relationship Soil Pollutants Pesticides Linear Models
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Highly Sensitive Detection of Chemically Modified Thio-Organophosphates by an Enzymatic Biosensing Device: An Automated Robotic Approach.

Sensors (Basel, Switzerland) Mar 2, 2020
Pesticides represent some of the most common man-made chemicals in the world. Despite their unquestionable utility in the agricultural field and in the prevention of pest infestation in public areas of cities, pesticides and their biotransformation p...
Robotics Limit of Detection Biological Assay Esterases Fluorescence Biosensing Techniques Environmental Monitoring Organophosphates Pesticides Organophosphorus Compounds Alicyclobacillus
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Averting robo-bees: why free-flying robotic bees are a bad idea.

Emerging topics in life sciences Nov 27, 2019
Food security and the sustainability of native ecosystems depends on plant-insect interactions in countless ways. Recently reported rapid and immense declines in insect numbers due to climate change, the use of pesticides and herbicides, the introduc...
Crops, Agricultural Food Supply Herbicides Pesticides Models, Biological Computer Simulation Pollination Animals Flowers Ecosystem Bees Robotics Climate Change
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Electrochemical inhibition bacterial sensor array for detection of water pollutants: artificial neural network (ANN) approach.

Analytical and bioanalytical chemistry Nov 1, 2019
This work reports on further development of an inhibition electrochemical sensor array based on immobilized bacteria for the preliminary detection of a wide range of organic and inorganic pollutants, such as heavy metal salts (HgCl, PbCl, CdCl), pest...
Petroleum Pollution Biosensing Techniques Bacteria Water Pollutants, Chemical Electrochemical Techniques Limit of Detection Pesticides Metals, Heavy Dielectric Spectroscopy Neural Networks, Computer
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Performance of machine-learning algorithms to pattern recognition and classification of hearing impairment in Brazilian farmers exposed to pesticide and/or cigarette smoke.

Environmental science and pollution research international Mar 1, 2019
The use of pesticides has been increasing in agriculture, leading to a public health problem. The aim of this study was to evaluate ototoxic effects in farmers who were exposed to cigarette smoke and/or pesticides and to identify possible classificat...
Hearing Loss Nicotiana Air Pollutants, Occupational Pesticides Smoking Tobacco Smoke Pollution Farmers Aged Humans Brazil Young Adult Adolescent Machine Learning Adult Occupational Exposure Algorithms Male Support Vector Machine Female
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Evaluation of genotoxic effects in Brazilian agricultural workers exposed to pesticides and cigarette smoke using machine-learning algorithms.

Environmental science and pollution research international Jan 1, 2018
Monitoring exposure to xenobiotics by biomarker analyses, such as a micronucleus assay, is extremely important for the precocious detection and prevention of diseases, such as oral cancer. The aim of this study was to evaluate genotoxic effects in ru...
Machine Learning Female Young Adult Adult Male Brazil Occupational Exposure DNA Damage Humans Pesticides Smoking Mutagens Farmers
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Technology: The Future of Agriculture.

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