Comparison of Different Image Processing Methods for Segregation of Peanut (Arachis hypogaea L.) Seeds Infected by Aflatoxin-Producing Fungi

A Novel Model Predictive Runge–Kutta Neural Network Controller for Nonlinear MIMO Systems

(2020) Kemal Uçak   NEURAL PROCESSING LETTERS

An Efficient Mammogram Image Retrieval System Using an Optimized Classifier

(2020) Sonia Jenifer Rayen et al.   NEURAL PROCESSING LETTERS

Present Status and Perspective on the Future Use of Aflatoxin Biocontrol Products

(2020) Juan Moral et al.   Agronomy-Basel

Comprehensive comparison of multiple quantitative near‐infrared spectroscopy models for Aspergillus flavus contamination detection in peanut

(2019) Zhengxuan Li et al.   JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE

Pixel-level aflatoxin detecting based on deep learning and hyperspectral imaging

(2019) Zhongzhi Han et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Determination of toxigenic fungi and aflatoxins in nuts and dried fruits using imaging and spectroscopic techniques

(2018) Qifang Wu et al.   FOOD CHEMISTRY

On-Farm Demonstrations with a Set of Good Agricultural Practices (GAPs) Proved Cost-Effective in Reducing Pre-Harvest Aflatoxin Contamination in Groundnut

(2018) Vijayaraju Parimi et al.   Agronomy-Basel

Application driven key wavelengths mining method for aflatoxin detection using hyperspectral data

(2018) Han Zhongzhi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Fuzzy Time Series Models Using Pliant- and Asymptotically Pliant Arithmetic-Based Inference

(2018) József Dombi et al.   NEURAL PROCESSING LETTERS

A projection type steepest descent neural network for solving a class of nonsmooth optimization problems

(2017) M.J. Ebadi et al.   NEUROCOMPUTING

Use of Near-Infrared hyperspectral images to identify moldy peanuts

(2016) Jinbao Jiang et al.   JOURNAL OF FOOD ENGINEERING

Detection of fungal infection in five different pulses using near-infrared hyperspectral imaging

(2016) K. Karuppiah et al.   JOURNAL OF STORED PRODUCTS RESEARCH

Detection of aflatoxin and surface mould contaminated figs by using Fourier transform near-infrared reflectance spectroscopy

(2016) Efkan Durmuş et al.   JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE

Synthesis of the Resultant Force Position on a Radial Ply Tire of Off-Road Vehicle with a Comparative Trend Between Some Soft Computing Techniques

(2015) Hamid Taghavifar et al.   NEURAL PROCESSING LETTERS

Developments in detection and determination of aflatoxins

(2015) H. Yao et al.   World Mycotoxin Journal

Non-invasive detection of aflatoxin-contaminated figs using fluorescence and multispectral imaging

(2014) Habil Kalkan et al.   Food Additives and Contaminants Part A-Chemistry Analysis Control Exposure & Risk Assessment

Development of an UV-Based Imaging System for Real-Time Aflatoxin Contaminated Dried Fig Detection and Separation

(2014) Ömer Barış Özlüoymak   Tarim Bilimleri Dergisi-Journal of Agricultural Sciences

Applications of neuro fuzzy systems: A brief review and future outline

(2013) Samarjit Kar et al.   APPLIED SOFT COMPUTING

Aflatoxins: Biosynthesis, Occurrence, Toxicity, and Remedies

(2013) Muhammad Abrar et al.   CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION

A new approach to aflatoxin detection in chili pepper by machine vision

(2012) M. Ataş et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Image-Based Screening for the Identification of Bright Greenish Yellow Fluorescence on Pistachio Nuts and Cashews

(2012) L. Lunadei et al.   Food and Bioprocess Technology

Mycotoxin-Producing Ability and Chemotype Diversity of Aspergillus Section Flavi from Soils of Peanut-Growing Regions in Iran

(2012) S. Amani et al.   INDIAN JOURNAL OF MICROBIOLOGY

Occurrence of Aspergillus flavus in pistachio and peanut from Sanandaj province, Iran

(2012) B. Davari et al.   INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES

GSM churn management by using fuzzy c-means clustering and adaptive neuro fuzzy inference system

(2010) Adem Karahoca et al.   EXPERT SYSTEMS WITH APPLICATIONS