Identification of slightly sprouted wheat kernels using hyperspectral imaging technology and different deep convolutional neural networks

Introgression of pre-harvest sprouting resistance from hexaploid wheat into high yielding durum wheat germplasm

(2022) Guillermo Gerard et al.   CANADIAN JOURNAL OF PLANT SCIENCE

Effect of a newly synthesized compound on delaying pre-harvest sprouting in winter wheat (Triticum aestivum L.)

(2021) Shunyan Cui et al.   PLANT GROWTH REGULATION

UAV-Based Thermal, RGB Imaging and Gene Expression Analysis Allowed Detection of Fusarium Head Blight and Gave New Insights Into the Physiological Responses to the Disease in Durum Wheat

(2021) Sara Francesconi et al.   Frontiers in Plant Science

Mapping pre-harvest sprouting resistance loci in AAC Innova × AAC Tenacious spring wheat population

(2021) Raman Dhariwal et al.   BMC GENOMICS

Wheat physiology predictor: predicting physiological traits in wheat from hyperspectral reflectance measurements using deep learning

(2021) Robert T. Furbank et al.   Plant Methods

Discrimination of unsound wheat kernels based on deep convolutional generative adversarial network and near-infrared hyperspectral imaging technology

(2021) Hao Li et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Hyperspectral imaging for accurate determination of rice variety using a deep learning network with multi-feature fusion

(2020) Shizhuang Weng et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Integration of spectroscopy and image for identifying fusarium damage in wheat kernels

(2020) Dongyan Zhang et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Non-destructive identification of slightly sprouted wheat kernels using hyperspectral data on both sides of wheat kernels

(2020) Liu Zhang et al.   BIOSYSTEMS ENGINEERING

Near-Infrared spectroscopy and hyperspectral imaging for non-destructive quality assessment of cereal grains

(2018) Nicola Caporaso et al.   APPLIED SPECTROSCOPY REVIEWS

Deep learning in agriculture: A survey

(2018) Andreas Kamilaris et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Classifying Wheat Hyperspectral Pixels of Healthy Heads and Fusarium Head Blight Disease Using a Deep Neural Network in the Wild Field

(2018) Xiu Jin et al.   Remote Sensing

Discrimination between durum and common wheat kernels using near infrared hyperspectral imaging

(2018) Philippe Vermeulen et al.   JOURNAL OF CEREAL SCIENCE

A two-camera machine vision approach to separating and identifying laboratory sprouted wheat kernels

(2016) Bijay L. Shrestha et al.   BIOSYSTEMS ENGINEERING

Deep learning

(2015) Yann LeCun et al.   NATURE

A review of vibrational spectroscopic techniques for the detection of food authenticity and adulteration

(2015) Santosh Lohumi et al.   TRENDS IN FOOD SCIENCE & TECHNOLOGY

Effects of sprout damage on durum wheat milling and pasta processing quality

(2014) B. X. Fu et al.   CANADIAN JOURNAL OF PLANT SCIENCE

Application of Portable and Handheld Infrared Spectrometers for Determination of Sucrose Levels in Infant Cereals

(2013) Chih-An Lin et al.   Food Analytical Methods

Detection of sprout damage in Canada Western Red Spring wheat with multiple wavebands using visible/near-infrared hyperspectral imaging

(2010) Juan Xing et al.   BIOSYSTEMS ENGINEERING

Identification of wheat classes at different moisture levels using near-infrared hyperspectral images of bulk samples

(2010) S. Mahesh et al.   Journal of Food Measurement and Characterization

Detection of Sprouted and Midge-Damaged Wheat Kernels Using Near-Infrared Hyperspectral Imaging

(2009) Chandra B. Singh et al.   CEREAL CHEMISTRY

Seasonal conditions influence dormancy and preharvest sprouting tolerance of wheat (Triticum aestivum L.) in the field

(2008) T.B. Biddulph et al.   FIELD CROPS RESEARCH