AIMC Topic: Coffee

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Hybrid vision GNNs based early detection and protection against pest diseases in coffee plants.

Scientific reports Apr 6, 2025
Agriculture is an essential foundation that supports numerous economies, and the longevity of the coffee business is of paramount significance. Controlling and safeguarding coffee farms from harmful pests, including the Coffee Berry Borer, Mealybugs,...
Agriculture Coffea Plant Diseases Coffee Pest Control Crops, Agricultural Neural Networks, Computer Animals Deep Learning
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Geographical origin differentiation of Philippine Robusta coffee (C. canephora) using X-ray fluorescence-based elemental profiling with chemometrics and machine learning.

Food chemistry Mar 6, 2025
The increasing demand for authenticity and traceability in high-value crops underscores the need for reliable methods to verify the geographical origin of single-origin coffee and prevent fraud. This study explores a rapid and cost-effective approach...
Trace Elements Principal Component Analysis Discriminant Analysis Machine Learning Geography Philippines Spectrometry, X-Ray Emission Coffee Coffea Chemometrics
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Rapid discrimination of different primary processing Arabica coffee beans using FT-IR and machine learning.

Food research international (Ottawa, Ont.) Feb 10, 2025
In this study, fourier transform infrared spectroscopy (FT-IR) analysis was combined with machine learning, while various analytical techniques such as colorimetry, low-field nuclear magnetic resonance spectroscopy, scanning electron microscope, two-...
Machine Learning Spectroscopy, Fourier Transform Infrared Seeds Food Handling Microscopy, Electron, Scanning Coffee Discriminant Analysis Coffea Multivariate Analysis Magnetic Resonance Spectroscopy
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Prediction of coffee traits by artificial neural networks and laser-assisted rapid evaporative ionization mass spectrometry.

Food research international (Ottawa, Ont.) Jan 23, 2025
BACKGROUND: Coffee is an important commodity in the worldwide economy and smart technologies are important for accurate quality control and consumer-oriented product development. Sensory perception is probably the most important information since it ...
Lasers Coffee Neural Networks, Computer Mass Spectrometry Fatty Acids Taste Discriminant Analysis Humans
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Coffee Leaf Rust Disease Detection and Implementation of an Edge Device for Pruning Infected Leaves via Deep Learning Algorithms.

Sensors (Basel, Switzerland) Dec 16, 2024
Global warming and extreme climate conditions caused by unsuitable temperature and humidity lead to coffee leaf rust () diseases in coffee plantations. Coffee leaf rust is a severe problem that reduces productivity. Currently, pesticide spraying is c...
Coffee Basidiomycota Coffea Plant Diseases Neural Networks, Computer Algorithms Plant Leaves Deep Learning Indonesia
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Enhanced phytoremediation of vanadium using coffee grounds and fast-growing plants: Integrating machine learning for predictive modeling.

Journal of environmental management Oct 9, 2024
Vanadium (V) contamination posed a significant environmental challenge, while phytoremediation offered a sustainable solution. Phytoremediation performance was often limited by the slow growth cycles of traditional plants. A novel approach to enhanci...
Machine Learning Vanadium Coffee Lolium Soil Pollutants Biodegradation, Environmental
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Artificial Q-Grader: Machine Learning-Enabled Intelligent Olfactory and Gustatory Sensing System.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Apr 6, 2024
Portable and personalized artificial intelligence (AI)-driven sensors mimicking human olfactory and gustatory systems have immense potential for the large-scale deployment and autonomous monitoring systems of Internet of Things (IoT) devices. In this...
Tongue Coffee Electronic Nose Smell Zinc Oxide Odorants Taste Machine Learning Principal Component Analysis Humans Artificial Intelligence
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Models for predicting coffee yield from chemical characteristics of soil and leaves using machine learning.

Journal of the science of food and agriculture Mar 15, 2024
BACKGROUND: Coffee farming constitutes a substantial economic resource, representing a source of income for several countries due to the high consumption of coffee worldwide. Precise management of coffee crops involves collecting crop attributes (cha...
Soil Agriculture Machine Learning Plant Leaves Coffea Crop Production Coffee
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Rapid classification of coffee origin by combining mass spectrometry analysis of coffee aroma with deep learning.

Food chemistry Feb 22, 2024
Mislabeling the geographical origin of coffee is a prevalent form of fraud. In this study, a rapid, nondestructive, and high-throughput method combining mass spectrometry (MS) analysis and intelligence algorithms to classify coffee origin was develop...
Coffee Algorithms Mass Spectrometry Odorants Deep Learning Volatile Organic Compounds
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Classifiers based on artificial intelligence in the prediction of recently planted coffee cultivars using a Remotely Piloted Aircraft System.

Anais da Academia Brasileira de Ciencias Nov 3, 2023
The classification and prediction methods through artificial intelligence algorithms are applied in different sectors to assist and promote intelligent decision-making. In this sense, due to the great importance in the cultivation, consumption and ex...
Algorithms Neural Networks, Computer Coffee Artificial Intelligence Chlorophyll A
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