Detection of Pistachio Aflatoxin Using Raman Spectroscopy and Artificial Neural Networks
Journal Title: Journal of Agricultural Machinery - Year 2015, Vol 5, Issue 1
Abstract
Pistachio contamination to aflatoxin has been known as a serious problem for pistachio exportation. With regards to the increasing demand for Raman spectroscopy to detect and classify different materials and also the current experimental and technical problems for measuring toxin (such as being expensive and time-consuming), the main objective of this study was to detect aflatoxin contamination in pistachio by using Raman spectroscopy technique and artificial neural networks. Three sets of samples were prepared: non-contaminated (healthy) and contaminated samples with 20 and 100 ppb of the total aflatoxins (B1+B2+G1+G2). After spectral acquisition, considering to the results, spectral data were normalized and then principal components (PCs) were extracted to reduce the data dimensions. For classification of the samples spectra, an artificial neural network was used with a feed forward back propagation algorithm for 4 inputs and 3 neurons in hidden layer. Mean overall accuracy was achieved to be 98 percent; therefore, non-liner Raman spectra data modeling by ANN for samples classification was successful.
Authors and Affiliations
R. Mohammadigol,M. H. Khoshtaghaza,R. Malekfar,M. Mirabolfathi,A. M. Nikbakht,
Keywords
Related Articles
- EP ID EP717747
- DOI -
- Views 52
- Downloads 0
Simulation, Development and Evaluation of an Autonomous Robotic Boat Used in Aquacultures
IntroductionAs the world population grows up, the quantity and quality of human food must be improved. The production yield of marine aquaculture and farming of aquatic organisms, as a valuable source of food, will be in...
Mapping Alfalfa Yield Using an Energy Monitoring System on a Rectangular Hay Baler
The most advanced part of precision agriculture technology is yield monitoring of grain and non-grain crops. In this study, the horizontal pressing force of baling plunger and the angular position of the plunger connecti...
Feasibility of Drone Imagery for Monitoring Performance of a Modified Drill in a Conservation Farming System
In this paper, performance of a no-till corn planter in a soil covered with previous wheat residue was evaluated. Three levels of crop residue cover (CRC): 30, 45 and 60%, two planting schemes; on-bed and in-furrow and t...
Field and Laboratory Investigation of USS3 Ultrasonic Sensors Capability for Non-contact Measurement of Pistachio Canopy Structure
Electronic canopy characterization to determine structural properties is an important issue in tree crop management. Ultrasonic and optical sensors are the most used sensors for this purpose. The objective of this work w...
Investigating the Effect of Storage Time on the Mechanical Properties of Biodegradable Polylactic Acid Film Containing Zinc Oxide Nanoparticles
IntroductionPolylactic acid (PLA) is a biodegradable polymer that can replace petroleum-based materials in packaging films due to its unique properties. However, sometimes the degradability of polymers can be considered...