Results 111 to 120 of about 5,351 (266)

Mycotoxin management in the cereal supply chain: Advanced detection, detoxification, and smart packaging strategies

Journal of the Science of Food and Agriculture, EarlyView.
Abstract Mycotoxins remain a persistent threat to the safety and quality of cereal grains and other agricultural products, and their impact on human health continues to raise global concerns. In many situations, the practices traditionally used to control these toxins are no longer sufficiently effective. They can be costly, difficult to implement on a
Abolfazl Asqardokht‐Aliabadi, Dipendra Kumar Mahato, Jafar Mohammadzadeh Milani   +2 more
wiley   +1 more source

Potential of Snapshot-Type Hyperspectral Imagery Using Support Vector Classifier for the Classification of Tomatoes Maturity. [PDF]

Sensors (Basel), 2022
Cho BH, Kim YH, Lee KB, Hong YK, Kim KC.
europepmc   +1 more source

Assessing plant water status: Part 1 – Classical methods

Journal of the Science of Food and Agriculture, EarlyView.
Abstract As a result of the changing climate, water scarcity poses a significant threat to crop and pasture production. Although soil water content can indicate drought, its measurements often provide limited spatial resolution and are weakly correlated with plant water status, producing misleading drought assessments.
Naila Farooq, Tasawer Abbas, Bo Zhang, Bastian Leander Franzisky, Jochen Taiber, Martin Koch, Christoph‐Martin Geilfus, Ian C Dodd   +7 more
wiley   +1 more source

Classification of Toona sinensis Young Leaves Using Machine Learning and UAV-Borne Hyperspectral Imagery. [PDF]

Front Plant Sci, 2022
Wu H, Song Z, Niu X, Liu J, Jiang J, Li Y.   +5 more
europepmc   +1 more source

Assessing plant water status: Part 2 – Non‐destructive and remote sensing approaches

Journal of the Science of Food and Agriculture, EarlyView.
Abstract Precise, real time and non‐destructive assessment of plant water status is important for advancing plant physiological understanding, optimizing water usage, improving crop resilience and supporting precision agriculture in the face of increasingly variable climatic conditions.
Naila Farooq, Bo Zhang, Bastian Leander Franzisky, Tasawer Abbas, Jochen Taiber, Martin Koch, Ian C Dodd, Christoph‐Martin Geilfus   +7 more
wiley   +1 more source

Spectrally Segmented-Enhanced Neural Network for Precise Land Cover Object Classification in Hyperspectral Imagery

Remote Sensing
The paradigm shift brought by deep learning in land cover object classification in hyperspectral images (HSIs) is undeniable, particularly in addressing the intricate 3D cube structure inherent in HSI data. Leveraging convolutional neural networks (CNNs),
Touhid Islam, Rashedul Islam, Palash Uddin, Anwaar Ulhaq   +3 more
doaj   +1 more source

Polysaccharide determination and habitat classification for fresh Dendrobiums with hyperspectral imagery and modified RBFNN. [PDF]

RSC Adv, 2021
Wei Y, Hu W, Wu F, He Y.
europepmc   +1 more source

Image‐based and biochemical multimodal phenotyping for explainable classification of chia (Salvia hispanica L.) genotypes

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND This study developed an explainable machine learning framework integrating morphological, color, and biochemical characteristics for classifying chia (Salvia hispanica L.) genotypes. A dataset was assembled from 1200 seed images spanning four genotypes, from which 17 morphological and color features were extracted.
Sevim Akcura, Irem Poyraz, Beyza Ciftci, Mahmut Kaplan   +3 more
wiley   +1 more source

The synergic approach between machine learning, chemometrics, and NIR hyperspectral imagery for a real-time, reliable, and accurate prediction of mass loss in cement samples. [PDF]

Heliyon, 2023
Diane A, Saffaj T, Ihssane B, Rabie R.
europepmc   +1 more source

Predicting grapevine stem water potential (Ψstem) using UV‐visible‐NIR spectroscopy across contrasting vineyard environments

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND Climate change is intensifying water scarcity in viticulture, increasing the need for rapid and reliable tools to monitor vine water status. Spectroscopic techniques have emerged as promising approaches for rapid assessment of plant water status, although their robustness across different environments remains a key challenge.
Martina Galaverni, José Ignacio Manzano, Marta Rodríguez‐Febereiro, María Fandiño, Mar Vilanova, Javier José Cancela   +5 more
wiley   +1 more source