AIMC Topic: Solanum tuberosum
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Machine learning approach for predicting the antifungal effect of gilaburu (Viburnum opulus) fruit extracts on Fusarium spp. isolated from diseased potato tubers.
Journal of microbiological methods
Nov 19, 2021
This work addresses the mathematical model building to detect the diameter of the inhibition zone of gilaburu (Viburnum opulus L.) extract against eight different Fusarium strains isolated from diseased potato tubers. Gilaburu extracts were obtained ...
Rapid Assessment of Quality Changes in French Fries during Deep-frying Based on FTIR Spectroscopy Combined with Artificial Neural Network.
Journal of oleo science
Sep 8, 2021
Fourier transform infrared (FTIR) spectroscopy combined with backpropagation artificial neural network (BP-ANN) were utilized for rapid and simultaneous assessment of the lipid oxidation indices in French fries. The conventional indexes (i.e. total p...
Extracting knowledge networks from plant scientific literature: potato tuber flesh color as an exemplary trait.
BMC plant biology
Apr 24, 2021
BACKGROUND: Scientific literature carries a wealth of information crucial for research, but only a fraction of it is present as structured information in databases and therefore can be analyzed using traditional data analysis tools. Natural language ...
A large-scale optical microscopy image dataset of potato tuber for deep learning based plant cell assessment.
Scientific data
Oct 27, 2020
We present a new large-scale three-fold annotated microscopy image dataset, aiming to advance the plant cell biology research by exploring different cell microstructures including cell size and shape, cell wall thickness, intercellular space, etc. in...
Prediction of End-Of-Season Tuber Yield and Tuber Set in Potatoes Using In-Season UAV-Based Hyperspectral Imagery and Machine Learning.
Sensors (Basel, Switzerland)
Sep 16, 2020
Potato is the largest non-cereal food crop in the world. Timely estimation of end-of-season tuber production using in-season information can inform sustainable agricultural management decisions that increase productivity while reducing impacts on the...
Investigating potato late blight physiological differences across potato cultivars with spectroscopy and machine learning.
Plant science : an international journal of experimental plant biology
Nov 13, 2019
Understanding plant disease resistance is important in the integrated management of Phytophthora infestans, causal agent of potato late blight. Advanced field-based methods of disease detection that can identify infection before the onset of visual s...
Alarm lateral flow immunoassay for detection of the total infection caused by the five viruses.
Talanta
Dec 4, 2018
This study presents new type of the lateral flow immunoassay (LFIA) for multi-target analysis. A test, named alarm-LFIA, has an essentially new function that consists in notice (signaling the danger) about the presence at least one target from the co...
Effects of different high hydrostatic pressure-treated potato starch on the processing performance of dough-like model systems.
Food research international (Ottawa, Ont.)
Nov 1, 2018
In this study, potato starch (PS) was processed by high hydrostatic pressure (HHP) at 200, 350 and 500 MPa for 30 min at 25 °C. Effects of HHP-treated PS on the processing performance of PS-gluten and PS-hydroxypropylmethylcellulose (HPMC) dough-like...
Antigenic and pathogenicity activities of Ralstonia solanacearum race 3 biovar 2 molecularly identified and detected by indirect ELISA using polyclonal antibodies generated in rabbits.
Microbial pathogenesis
Dec 25, 2017
Eight molecular-characterized isolates of Ralstonia solanacearum from potato belonging to race 3 biovar 2, their virulence were evaluated on potato cv. Lady Rosette, tomato cv. Strain B, eggplant cv. Balady and pepper cv. Balady and showed high virul...
Estimation of biogas and methane yields in an UASB treating potato starch processing wastewater with backpropagation artificial neural network.
Bioresource technology
Dec 16, 2016
Three-layered feedforward backpropagation (BP) artificial neural networks (ANN) and multiple nonlinear regression (MnLR) models were developed to estimate biogas and methane yield in an upflow anaerobic sludge blanket (UASB) reactor treating potato s...
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