Emerging Technologies in Agriculture and Food Science

Description

Cultivators and livestock farmers are increasingly arranging innovative technical and scientific estimations with the aim to enhance agricultural sustainability, effectiveness, and plant health. Innovative farming technologies incorporate biology with smart technology (computers and sensor devices) exchanging information with one another autonomously in a structured farm management system. This book presents reviews on innovative techniques and methodologies to complement conventional plant control and breeding attempts toward enhancing crop yield and production. Reviews covered in this volume include: -Active compounds from pomegranate seeds-Application of Enterococci and their bacteriocins for meat biopreservation-Technological advancement in the detection and identification of plant pathogens-Machine learning for precision agriculture-Use of remote sensing technology and geographic information systems for agriculture and environmental observation. The information presented in this volume will provide helpful updates for students, technology experts and professionals in the food security and sustainable agriculture sectors. 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