• Publications
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Application of Vegetation Indices for Agricultural Crop Yield Prediction Using Neural Network Techniques
TLDR
Spatial variability in a crop field creates a need for precision agriculture. Expand
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Solid-Phase Microextraction (SPME) Techniques for Quality Characterization of Food Products: A Review
Solid-phase microextraction (SPME) is a relatively new sampling technique wherein sample extraction and pre-concentration could be achieved in a single step. The handling of an SPME device is simple,Expand
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Olfactory receptor based piezoelectric biosensors for detection of alcohols related to food safety applications
Abstract Our major goal in developing intelligent quality sensors is to detect bacterial pathogens such as Salmonella in the packaged beef. Olfactory sensing of specific volatile organic compoundsExpand
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Design and development of a metal oxide based electronic nose for spoilage classification of beef
Abstract A metal oxide sensor-based electronic nose system consisting of nine sensors was designed and used to analyze the volatile compounds emanating from beef strip loins (M. Longisimmus lumborumExpand
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Neural networks-integrated metal oxide-based artificial olfactory system for meat spoilage identification
TLDR
A metal oxide-based olfactory sensing system was used to analyze the headspace from beef strip loins stored at 4 and 10 °C. Expand
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Neural Network Optimisation of Remotely Sensed Maize Leaf Nitrogen with a Genetic Algorithm and Linear Programming using Five Performance Parameters
An algorithm was developed to select an optimum model among several neural network (NN) models using the Manhattan and Euclidean metric measures. The algorithm was implemented to find an optimum NNExpand
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Neural-network-integrated electronic nose system for identification of spoiled beef
TLDR
A commercially available Cyranose-320™ conducting polymer-based electronic nose system was used to analyse the headspace from fresh beef strip loins (M. Longissimus lumborum ) stored at 4° and 10 °C. Expand
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A comparative qualitative study of the profile of volatile organic compounds associated with Salmonella contamination of packaged aged and fresh beef by HS-SPME/GC-MS
Vacuum packaged beef strip-loins (fresh and aged) were repackaged on polystyrene trays and over-wrapped with food grade cling film for the storage study. Several volatile compounds such asExpand
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Evaluation of an artificial olfactory system for grain quality discrimination
A commercially available Cyranose-320™ conducting polymer-based electronic nose system was used to analyze the headspace from stored barley samples. Three types of barley samples were analyzed,Expand
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Evaluation of technique to overcome small dataset problems during neural-network based contamination classification of packaged beef using integrated olfactory sensor system
TLDR
This study evaluates multivariate normal (MVN) technique of synthetic sample generation on small datasets associated with Salmonella contamination in beef by using radial basis function network (RBFN) based classification. Expand
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