Editor: Karim Ennouri

Emerging Technologies in Agriculture and Food Science

eBook: US $49 Special Offer (PDF + Printed Copy): US $78
Printed Copy: US $54
Library License: US $196
ISBN: 978-981-14-6998-5 (Print)
ISBN: 978-981-14-7000-4 (Online)
Year of Publication: 2020
DOI: 10.2174/97898114700041200101

Introduction

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.

Foreword

- Pp. i
Faiçal Brini
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Preface

- Pp. ii
Karim Ennouri
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List of Contributors

- Pp. iii
Karim Ennouri
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Active Compounds from Pomegranate Seed: New Source for Food Applications

- Pp. 1-31 (31)
Slim Smaoui, Mariam Fourati, Hajer Ben Hlima, Khaoula Elhadef, Olfa Ben Braïek, Ahlem Chakchouk- Mtibaa, Imen Sellem and Lotfi Mellouli

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Application of Enterococci and their Bacteriocins for Meat Biopreservation

- Pp. 32-63 (32)
Olfa Ben Braïek, Paola Cremonesi and Stefano Morandi

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Technological Advancement in the Detection and Identification of Plant Pathogens

- Pp. 64-90 (27)
Yaakoub Gharbi, Emna Bouazizi, Manel Cheffi and Mohamed Ali Triki

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Machine Learning for Precision Agriculture: Methods and Applications

- Pp. 91-107 (17)
Ennio Ottaviani, Enrico Barelli and Karim Ennouri

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Use of Remote Sensing Technology and Geographic Information System for Agriculture and Environmental Observation

- Pp. 108-138 (31)
Karim Ennouri, Ennio Ottaviani, Slim Smaoui and Mohamed Ali Triki

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Subject Index

- Pp. 139-146 (8)
Karim Ennouri
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