AIMC Topic: Farmers

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Machine learning models for predicting the use of different animal breeding services in smallholder dairy farms in Sub-Saharan Africa.

Tropical animal health and production Nov 15, 2019
This study is concerned with developing predictive models using machine learning techniques to be used in identifying factors that influence farmers' decisions, predict farmers' decisions, and forecast farmers' demands relating to breeding service. T...
Machine Learning Female Animals Humans Cluster Analysis Decision Making Dairying Farmers Africa South of the Sahara Surveys and Questionnaires Cattle Models, Theoretical Animal Husbandry Farms
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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 Jan 8, 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...
Farmers Hearing Loss Nicotiana Smoking Tobacco Smoke Pollution Air Pollutants, Occupational Brazil Adolescent Support Vector Machine Pesticides Occupational Exposure Young Adult Adult Male Female Aged Machine Learning Algorithms Humans
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Potential dermal and inhalation exposure to imidacloprid and risk assessment among applicators during treatment in cotton field in China.

The Science of the total environment Dec 27, 2017
Quantifying operator exposure to pesticides is a key component of the decision-making procedure for risk assessment. China is the largest cotton-planting country in the world. Dense cotton planting patterns and pesticide overuse potentially place Chi...
Farmers Agriculture Skin China Pesticides Neonicotinoids Insecticides Occupational Exposure Humans Nitro Compounds Inhalation Exposure Risk Assessment
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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 Oct 30, 2017
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 Adult Male Young Adult Humans Mutagens Farmers DNA Damage Pesticides Brazil Smoking Occupational Exposure
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Analyzing the performance of fluorescence parameters in the monitoring of leaf nitrogen content of paddy rice.

Scientific reports Jun 28, 2016
Leaf nitrogen content (LNC) is a significant factor which can be utilized to monitor the status of paddy rice and it requires a reliable approach for fast and precise quantification. This investigation aims to quantitatively analyze the correlation b...
Farmers Fertilizers Spectrum Analysis Lasers Fluorescence Agriculture Plant Leaves Support Vector Machine Oryza Decision Making Nitrogen
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Farmers who implemented this, also implemented that: Use of association-rule-learning to improve biosecurity on dairies.

Preventive veterinary medicine Jun 1, 2025
Biosecurity practices are the cornerstone of disease prevention and control programs. In Canada, their implementation is evaluated with a Risk Assessment Questionnaire (RAQ). Association Rule Learning (ARL) - a non-supervised machine learning algorit...
Animals Biosecurity Surveys and Questionnaires Humans Machine Learning Dairying Farmers Quebec Cattle Cattle Diseases
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