Emerging Technologies in Agriculture and Food Science

Cover
Title
Copyright
End User License Agreement
Contents
Foreword
Preface
List of Contributors
Active Compounds from Pomegranate Seed: New Source for Food Applications
Slim Smaoui*, 1, Mariam Fourati1, Hajer Ben Hlima2, Khaoula Elhadef1, Olfa Ben Braïek3, Ahlem Chakchouk-Mtibaa1, Imen Sellem1 and Lotfi Mellouli1
INTRODUCTION
BOTANICAL ASPECTS OF POMEGRANATE
PS Phytochemical Content
Advanced Analytical Chemistry of Phenolic Compound from PS
Potential Antimicrobial Activity of PS
PS Antioxidant Activity
Biopreservation of Food and Agri-food Products Formulated with PS Extracts
Meat Products
Pasta
Yoghurts
Animal Feeding
CONCLUSION
FUTURE PERSPECTIVES
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Application of Enterococci and their Bacteriocins for Meat Biopreservation
Olfa Ben Braïek1,*, Paola Cremonesi2 and Stefano Morandi3
INTRODUCTION
General Characteristics of Enterococci
Bacteriocins Produced by Enterococci
General Characteristics and Inhibitory Spectrum
Classification of Enterocins
Mechanism of Action
Application of Enterococci and their Bacteriocins in Meat
Challenges of their Application in Meat
Advantages of their Application in Meat
Current Applications of Enterococci and their Enterocins in Meat Preservation
Limits of Enterococci and Enterocins Use in Meat Biopreservation
Limits of Enterococci
Limits of Enterocins
Combinations between Bacteriocinogenic Enterococci and/or Enterococcal Bacteriocins with Other Antimicrobials or Preservation Treatments
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Technological Advancement in the Detection and Identification of Plant Pathogens
Yaakoub Gharbi*, Emna Bouazizi, Manel Cheffi and Mohamed Ali Triki
INTRODUCTION
SEROLOGICAL BASED METHODS
Enzyme Linked Immunosorbent Assay
Immunofluorescence
NUCLEIC ACID-BASED METHODS
DNA-based PCR Methods
RNA-BASED METHODS
NON-INVASIVE DETECTION METHODS
Imaging Methods
Thermography
Fluorescence Imaging
Hyperspectral Imaging
DETECTION OF PLANT PATHOGENS USING BIOSENSORS
CONCLUSIONS
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Machine Learning for Precision Agriculture: Methods and Applications
Ennio Ottaviani1,2,*, Enrico Barelli1 and Karim Ennouri3,4
INTRODUCTION
MACHINE LEARNING AND COMPUTER VISION OVERVIEW
Statistics and Machine Learning
Computer Vision and Deep Learning
APPLICATIONS OF PRECISION AGRICULTURE AND USE-CASES
Crop Yield Prediction and Evaluation
Soil Management and Description
Disease, Weed, Pest Detection and Management
Phenology Recognition
Livestock and Aquaculture Applications
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Use of Remote Sensing Technology and Geographic Information System for Agriculture and Environmental Observation
Karim Ennouri1,*, Ennio Ottaviani2,3, Slim Smaoui4 and Mohamed Ali Triki1
INTRODUCTION
REMOTE SENSING AND GEOGRAPHICAL INFORMATION SYSTEM: GENERALITIES
GIS AND REMOTE SENSING INTEGRATION
SPECTRAL REFLECTANCE OF FOLIAGE
CHARACTERISTICS OF REMOTELY SENSED RECORDS
Spatial Resolution
Spectral Resolution
Radiometric Resolution
Temporal Resolution
IMAGE CLASSIFICATION
Hard Classification
Unsupervised Classification
Supervised Classification
Expert knowledge-Cased Classification
Soft Classification
Object Criented Image Analysis
LAND USE AND LAND COVER
Definitions
Vegetation Observing and Mapping
Ways of Assessing Foliage State
Multi-Temporal Analysis
Macroscopic Visualisation of Vegetation Conversion and Change
APPLICATION OF REMOTE SENSING IN VEGETATION INVENTORY
Field Measuring
Aerial Measuring
Satellites
Synchronized Applications of Modelisation and Remote Sensing in Vegetation Analysis
Empirical Theory
Physical Theory
Dual Mixture: Artificial Neural Networks
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Subject Index