Cultivators and livestock farmers are increasingly arranging innovative technical andscientific estimations with the aim to enhance agricultural sustainability,effectiveness, and plant health. Innovative farming technologies incorporatebiology with smart technology (computers and sensor devices) exchanginginformation with one another autonomously in a structured farm managementsystem. This book presents reviews on innovative techniques and methodologiesto complement conventional plant control and breeding attempts toward enhancingcrop yield and production.
Reviews covered in this volume include: -Active compounds from pomegranate seeds-Application of Enterococci andtheir bacteriocins for meat biopreservation-Technological advancement in the detection and identification of plantpathogens-Machine learning for precision agriculture-Use of remote sensing technology and geographic information systemsfor agriculture andenvironmental observationThe information presented in this volume will provide helpful updatesfor students, technology experts and professionals in the food security andsustainable agriculture sectors.
Reviews covered in this volume include: -Active compounds from pomegranate seeds-Application of Enterococci andtheir bacteriocins for meat biopreservation-Technological advancement in the detection and identification of plantpathogens-Machine learning for precision agriculture-Use of remote sensing technology and geographic information systemsfor agriculture andenvironmental observationThe information presented in this volume will provide helpful updatesfor students, technology experts and professionals in the food security andsustainable agriculture sectors.
Table of Contents
Chapter 1 Active Compounds from Pomegranate Seed: New Source For Food Applications- 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
Chapter 2 Application of Enterococci and Their Bacteriocins For
- Meat Biopreservation
- 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
- Slim Smaoui, Mariam Fourati, Hajer Ben Hlima, Khaoula Elhadef, Olfa Ben Braïek,
- Ahlem Chakchouk-Mtibaa, Imen Sellem and Lotfi Mellouli
- Olfa Ben Braïek, Paola Cremonesi and Stefano Morandi
- Foreword
Chapter 3 Technological Advancement in the Detection And
- Identification of Plant Pathogens
- 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
Chapter 4 Machine Learning for Precision Agriculture: Methods And
- Applications
- 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
Chapter 5 Use of Remote Sensing Technology and Geographic
- Information System for Agriculture and Environmental Observation
- Introduction
- Remote Sensing and Geographical Information System:
- Generalities
- Gis and Remote Sensing Integration
- Spectral Reflectance of Foliage
- Characteristics of Remotely Sensed Records
- Spatial Resolution
- Yaakoub Gharbi, Emna Bouazizi, Manel Cheffi and Mohamed Ali Triki
- Ennio Ottaviani, Enrico Barelli and Karim Ennouri
- Karim Ennouri, Ennio Ottaviani, Slim Smaoui and Mohamed Ali Triki
- 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
Author
- Karim Ennouri
