AIMC Topic: Fertilizers

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Spectral Diagnostic Model for Agricultural Robot System Based on Binary Wavelet Algorithm.

Sensors (Basel, Switzerland) Feb 25, 2022
The application of agricultural robots can liberate labor. The improvement of robot sensing systems is the premise of making it work. At present, more research is being conducted on weeding and harvesting systems of field robot, but less research is ...
Robotics Phosphorus Algorithms Agriculture Fertilizers
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Comprehensive nutrient analysis in agricultural organic amendments through non-destructive assays using machine learning.

PloS one Dec 10, 2020
Portable X-ray fluorescence (pXRF) and Diffuse Reflectance Fourier Transformed Mid-Infrared (DRIFT-MIR) spectroscopy are rapid and cost-effective analytical tools for material characterization. Here, we provide an assessment of these methods for the ...
Spectrometry, X-Ray Emission Organic Agriculture Nutrients Fertilizers Soil Spectroscopy, Fourier Transform Infrared Machine Learning
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Deep Learning for Non-Invasive Diagnosis of Nutrient Deficiencies in Sugar Beet Using RGB Images.

Sensors (Basel, Switzerland) Oct 18, 2020
In order to enable timely actions to prevent major losses of crops caused by lack of nutrients and, hence, increase the potential yield throughout the growing season while at the same time prevent excess fertilization with detrimental environmental c...
Fertilizers Beta vulgaris Nutrients Sugars Deep Learning Food Analysis
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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...
Fluorescence Agriculture Support Vector Machine Decision Making Lasers Nitrogen Fertilizers Plant Leaves Farmers Spectrum Analysis Oryza
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Optimizing swine manure composting parameters with integrated CatBoost and XGBoost models: nitrogen loss mitigation and mechanism.

Journal of environmental management Jul 1, 2025
In this study, machine learning was used to optimize the aerobic composting process of swine manure to enhance nitrogen retention and compost maturity in order to meet the demand for high-quality organic fertilizers in sustainable agriculture. In thi...
Swine Agriculture Soil Animals Machine Learning Fertilizers Boosting Machine Learning Algorithms Composting Nitrogen Manure
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Integrated irrigation of water and fertilizer with superior self-correcting fuzzy PID control system.

PloS one Jan 1, 2025
To address the fixed-parameter limitations of traditional PID control (e.g., excessive overshoot, prolonged settling time, poor adaptability to nonlinearities) and the insufficient real-time adjustment capability of conventional fuzzy PID control, wh...
Fuzzy Logic Agricultural Irrigation Fertilizers Water Soil Models, Theoretical
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Genotyping of Giardia duodenalis in vegetables cultivated with organic and chemical fertilizer from street markets and community vegetable gardens in a region of Southern Brazil.

Transactions of the Royal Society of Tropical Medicine and Hygiene Dec 1, 2017
BACKGROUND: In order to investigate the occurrence of Giardia duodenalis and its genotypes in vegetables that are consumed raw, we analyzed samples cultivated with organic or chemical fertilizer, sold in street markets and from community vegetable ga...
Food, Organic Gardens Polymorphism, Restriction Fragment Length Fertilizers DNA, Protozoan Feeding Behavior Giardiasis Genotype Food Supply Giardia lamblia Polymerase Chain Reaction Commerce Urban Population Cooking Diet Sequence Analysis, DNA Humans Brazil Vegetables Animals
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