AIMC Topic: Solanum tuberosum

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An explainable vision transformer with transfer learning based efficient drought stress identification.

Plant molecular biology Jul 31, 2025
Early detection of drought stress is critical for taking timely measures for reducing crop loss before the drought impact becomes irreversible. The subtle phenotypical and physiological changes in response to drought stress are captured by non-invasi...
Deep Learning Image Processing, Computer-Assisted Machine Learning Solanum tuberosum Support Vector Machine Crops, Agricultural Stress, Physiological Droughts
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Optimizing potato yield predictions in Uttar Pradesh, India: a comparative analysis of machine learning models.

Scientific reports Jul 24, 2025
Potato as a staple food, plays a crucial role in ensuring a sustainable food supply and mitigating poverty and malnutrition in various regions across the globe. India, specifically holding the second position in global potato production, plays a sign...
Solanum tuberosum Machine Learning Forecasting Neural Networks, Computer Support Vector Machine India Food Supply
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Synergistic application of artificial intelligence and response surface methodology for predicting and enhancing in vitro tuber production of potato (Solanum tuberosum).

PloS one Jun 24, 2025
In vitro regeneration of potato tubers is highly significant in modern agriculture as it offers efficient propagation, genetic enhancement, and pathogen-free seed production. This study aimed to optimize in vitro tuberization by manipulating key vari...
Plant Tubers Cytokinins Indoles Sucrose Indoleacetic Acids Plant Growth Regulators Solanum tuberosum Artificial Intelligence Machine Learning
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Mapping acrylamide content in potato chips using near-infrared hyperspectral imaging and chemometrics.

Food chemistry Mar 9, 2025
This study investigated the potential of near-infrared hyperspectral imaging (NIR-HSI) for the prediction of acrylamide content in potato chips. A total of 300 tubers from two potato varieties (Agria and Jaerla) grown in two seasons and processed und...
Spectroscopy, Near-Infrared Support Vector Machine Hyperspectral Imaging Solanum tuberosum Cooking Food Contamination Least-Squares Analysis Chemometrics Acrylamide Plant Tubers
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Potato Late Blight Outbreak: A Study on Advanced Classification Models Based on Meteorological Data.

Sensors (Basel, Switzerland) Dec 9, 2024
While past research has emphasized the importance of late blight infection detection and classification, anticipating the potato late blight infection is crucial from the economic point of view as it helps to significantly reduce the production cost....
Plant Diseases Solanum tuberosum Humans Machine Learning Logistic Models Phytophthora infestans Disease Outbreaks
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Human limits in machine learning: prediction of potato yield and disease using soil microbiome data.

BMC bioinformatics Nov 26, 2024
BACKGROUND: The preservation of soil health is a critical challenge in the 21st century due to its significant impact on agriculture, human health, and biodiversity. We provide one of the first comprehensive investigations into the predictive potenti...
Humans Soil Soil Microbiology Machine Learning Plant Diseases Solanum tuberosum Bayes Theorem Microbiota
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PotatoG-DKB: a potato gene-disease knowledge base mined from biological literature.

PeerJ Oct 3, 2024
BACKGROUND: Potato is the fourth largest food crop in the world, but potato cultivation faces serious threats from various diseases and pests. Despite significant advancements in research on potato disease resistance, these findings are scattered acr...
Solanum tuberosum Disease Resistance Data Mining Natural Language Processing Genes, Plant Plant Diseases Knowledge Bases
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Enhancing practicality of deep learning for crop disease identification under field conditions: insights from model evaluation and crop-specific approaches.

Pest management science Jul 19, 2024
BACKGROUND: Crop diseases can lead to significant yield losses and food shortages if not promptly identified and managed by farmers. With the advancements in convolutional neural networks (CNN) and the widespread availability of smartphones, automate...
Malus Plant Diseases Solanum tuberosum Solanum lycopersicum Crops, Agricultural Deep Learning
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Deep learning-based characterization and redesign of major potato tuber storage protein.

Food chemistry Jan 23, 2024
Potato is one of the most important crops worldwide, to feed a fast-growing population. In addition to providing energy, fiber, vitamins, and minerals, potato storage proteins are considered as one of the most valuable sources of non-animal proteins ...
Plant Tubers Solanum tuberosum Plant Proteins Deep Learning Carbohydrates
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ScabyNet, a user-friendly application for detecting common scab in potato tubers using deep learning and morphological traits.

Scientific reports Jan 13, 2024
Common scab (CS) is a major bacterial disease causing lesions on potato tubers, degrading their appearance and reducing their market value. To accurately grade scab-infected potato tubers, this study introduces "ScabyNet", an image processing approac...
Phenotype Solanum tuberosum Deep Learning Plant Tubers Plant Diseases
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