Research on pH Value Detection Method during Maize Silage Secondary Fermentation Based on Computer Vision

Effect of Bacillus amyloliquefaciens and Bacillus subtilis on fermentation, dynamics of bacterial community and their functional shifts of whole-plant corn silage

(2022) Jie Bai et al.   Journal of Animal Science and Biotechnology

A Lightweight Attention-Based Convolutional Neural Networks for Tomato Leaf Disease Classification

(2022) Anil Bhujel et al.   Agriculture-Basel

Research on Maize Seed Classification and Recognition Based on Machine Vision and Deep Learning

(2022) Peng Xu et al.   Agriculture-Basel

Corn silage quality index: An index combining milk yield, silage nutritional and fermentation parameters

(2021) R.M.H. Tharangani et al.   ANIMAL FEED SCIENCE AND TECHNOLOGY

Nondestructive detection for egg freshness based on hyperspectral imaging technology combined with harris hawks optimization support vector regression

(2021) Kunshan Yao et al.   JOURNAL OF FOOD SAFETY

Early Weed Detection Using Image Processing and Machine Learning Techniques in an Australian Chilli Farm

(2021) Nahina Islam et al.   Agriculture-Basel

Enhanced quality monitoring during black tea processing by the fusion of NIRS and computer vision

(2021) Yujie Wang et al.   JOURNAL OF FOOD ENGINEERING

Predicción de la calidad fermentativa de ensilados de girasol mediante espectroscopía de reflectancia en el infrarrojo cercano (NIRS) sobre muestras secas

(2021) Sonia Pereira-Crespo et al.   Revista Mexicana de Ciencias Pecuarias

Prediction of the ripening stages of papayas using discriminant analysis and support vector machine algorithms

(2021) Nurazwin Zulkifli et al.   JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE

Intelligent evaluation of black tea fermentation degree by FT-NIR and computer vision based on data fusion strategy

(2020) Ge Jin et al.   LWT-FOOD SCIENCE AND TECHNOLOGY

Application of decision trees and fuzzy inference system for quality classification and modeling of black and green tea based on visual features

(2020) Adel Bakhshipour et al.   Journal of Food Measurement and Characterization

Comparison of Canopy Closure Estimation of Plantations Using Parametric, Semi-Parametric, and Non-Parametric Models Based on GF-1 Remote Sensing Images

(2020) Jiarui Li et al.   Forests

Identification of tomato maturity based on multinomial logistic regression with kernel clustering by integrating color moments and physicochemical indices

(2020) Yiping Jiang et al.   JOURNAL OF FOOD PROCESS ENGINEERING

Using Machine Learning for Estimating Rice Chlorophyll Content from In Situ Hyperspectral Data

(2020) Gangqiang An et al.   Remote Sensing

Computer vision techniques for modelling the roasting process of coffee (Coffea arabica L.) var. Castillo

(2020) Eugenio Ivorra et al.   CZECH JOURNAL OF FOOD SCIENCES

Energy Efficiency of Maize Production Technology: Evidence from Polish Farms

(2020) Anita Konieczna et al.   Energies

Real-Time Moisture Ratio Study of Drying Date Fruit Chips Based on On-Line Image Attributes Using kNN and Random Forest Regression Methods

(2020) Madi Keramat-Jahromi et al.   MEASUREMENT

Combined analysis of near-infrared spectra, colour, and physicochemical information of brown rice to develop accurate calibration models for determining amylose content

(2019) Edenio Olivares Díaz et al.   FOOD CHEMISTRY

Computer Vision Classification of Barley Flour Based on Spatial Pyramid Partition Ensemble

(2019) Jessica Fernandes Lopes et al.   SENSORS

Maize yield estimation in West Africa from crop process-induced combinations of multi-domain remote sensing indices

(2019) Louise Leroux et al.   EUROPEAN JOURNAL OF AGRONOMY

Non-destructive monitoring of netted muskmelon quality based on its external phenotype using Random Forest

(2019) Liu Qian et al.   PLoS One

Maturity monitoring of intact fruit and arils of pomegranate cv. ‘Mollar de Elche’ using machine vision and chemometrics

(2019) Sandra Munera et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

A three-variety automatic and non-intrusive computer vision system for the estimation of orange fruit pH value

(2019) Sajad Sabzi et al.   MEASUREMENT

Predicting the ripening of papaya fruit with digital imaging and random forests

(2018) Luiz Fernando Santos Pereira et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Silage review: Interpretation of chemical, microbial, and organoleptic components of silages

(2018) Limin Kung et al.   JOURNAL OF DAIRY SCIENCE

Segmentation of images by color features: A survey

(2018) Farid Garcia-Lamont et al.   NEUROCOMPUTING

Postharvest classification of banana ( Musa acuminata ) using tier-based machine learning

(2018) Eduardo Jr Piedad et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Comparison of NIRS and wet chemistry methods for the nutritional analysis of haylages for horses

(2018) Harris Patrica A et al.   JOURNAL OF EQUINE VETERINARY SCIENCE

Prediction of Congou Black Tea Fermentation Quality Indices from Color Features Using Non-Linear Regression Methods

(2018) Chunwang Dong et al.   Scientific Reports

Effect of compaction, delayed sealing and aerobic exposure on maize silage quality and on formation of volatile organic compounds

(2017) D. Brüning et al.   GRASS AND FORAGE SCIENCE

Prediction of banana quality indices from color features using support vector regression

(2016) Alireza Sanaeifar et al.   TALANTA

On-line application of near infrared (NIR) spectroscopy in food production

(2015) Jan U. Porep et al.   TRENDS IN FOOD SCIENCE & TECHNOLOGY

Improving corn silage quality in the top layer of farm bunker silos through the use of a next-generation barrier film with high impermeability to oxygen

(2014) G. Borreani et al.   JOURNAL OF DAIRY SCIENCE

Determination of aerobic deterioration of corn stalk silage caused by aerobic bacteria

(2013) Q.H. Liu et al.   ANIMAL FEED SCIENCE AND TECHNOLOGY

Modeling spatial patterns of fire occurrence in Mediterranean Europe using Multiple Regression and Random Forest

(2012) Sandra Oliveira et al.   FOREST ECOLOGY AND MANAGEMENT

The aerobic stability of silage: key findings and recent developments

(2012) J. M. Wilkinson et al.   GRASS AND FORAGE SCIENCE

Fermentation and aerobic stability of corn silage inoculated with Lactobacillus buchneri

(2012) Fernanda Carvalho Basso et al.   REVISTA BRASILEIRA DE ZOOTECNIA-BRAZILIAN JOURNAL OF ANIMAL SCIENCE

Classification of Fruits Using Computer Vision and a Multiclass Support Vector Machine

(2012) Yudong Zhang et al.   SENSORS

Classification of images of wheat, ryegrass and brome grass species at early growth stages using principal component analysis

(2011) Mahmood R Golzarian et al.   Plant Methods

Random Forests for Genetic Association Studies

(2011) Benjamin A Goldstein et al.   Statistical Applications in Genetics and Molecular Biology

Prediction of selected ewe's milk properties and differentiating between pasture and box feeding using visible and near infrared spectroscopy

(2009) A.M. Mouazen et al.   BIOSYSTEMS ENGINEERING