AIMC Topic: Solanum tuberosum

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Unravelling effects of flavanols and their derivatives on acrylamide formation via support vector machine modelling.

Food chemistry Oct 13, 2016
This study investigated the effect of flavanols and their derivatives on acrylamide formation under low-moisture conditions via prediction using the support vector regression (SVR) approach. Acrylamide was generated in a potato-based equimolar aspara...
Antioxidants Support Vector Machine Dose-Response Relationship, Drug Polyphenols Flavonoids Chromatography, High Pressure Liquid Tandem Mass Spectrometry Solanum tuberosum Linear Models Food Handling Asparagine Acrylamide Hot Temperature Maillard Reaction
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Modeling and optimization of anaerobic codigestion of potato waste and aquatic weed by response surface methodology and artificial neural network coupled genetic algorithm.

Bioresource technology Apr 19, 2016
A novel approach to overcome the acidification problem has been attempted in the present study by codigesting industrial potato waste (PW) with Pistia stratiotes (PS, an aquatic weed). The effectiveness of codigestion of the weed and PW was tested in...
Neural Networks, Computer Algorithms Reproducibility of Results Models, Theoretical Regression Analysis Plant Weeds Anaerobiosis Fatty Acids, Volatile Hydrogen-Ion Concentration Aquatic Organisms Solanum tuberosum Biofuels Analysis of Variance Waste Products Biotechnology
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Potato plant disease detection: leveraging hybrid deep learning models.

BMC plant biology May 16, 2025
Agriculture, a crucial sector for global economic development and sustainable food production, faces significant challenges in detecting and managing crop diseases. These diseases can greatly impact yield and productivity, making early and accurate d...
Neural Networks, Computer Deep Learning Plant Leaves Plant Diseases Solanum tuberosum
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[Non-destructive detection research for hollow heart of potato based on semi-transmission hyperspectral imaging and SVM].

Guang pu xue yu guang pu fen xi = Guang pu Jan 1, 2015
The quality of potato is directly related to their edible value and industrial value. Hollow heart of potato, as a physiological disease occurred inside the tuber, is difficult to be detected. This paper put forward a non-destructive detection method...
Algorithms Agriculture Models, Theoretical Support Vector Machine Plant Diseases Solanum tuberosum Spectrum Analysis
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