Details

Title: Advances in environmental engineering and green technologies (AEEGT) book series. Modern techniques for agricultural disease management and crop yield prediction
Other creators: Pradeep N.,; Kautish Sandeep; Nirmala C. R.,; Goyal Vishal; Abdellatif Sonia
Collection: Электронные книги зарубежных издательств; Общая коллекция
Subjects: Agriculture — Data processing.; Agricultural innovations.; Precision farming.; Phytopathogenic microorganisms — Control.; Crop yields.; EBSCO eBooks
Document type: Other
File type: PDF
Language: English
Rights: Доступ по паролю из сети Интернет (чтение, печать, копирование)
Record key: on1111724697

Allowed Actions:

pdf/2216958.pdf
Action 'Read' will be available if you login or access site from another network Action 'Download' will be available if you login or access site from another network
epub/2216958.epub
Action 'Download' will be available if you login or access site from another network

Group: Anonymous

Network: Internet

Annotation

"This book explores the current practices and widespread open challenges in the field of applications of computational techniques in smart agriculture. It also examines computational methods that will aid in agriculture disease management, weed detection, and crop yield prediction"--Provided by publisher.

Document access rights

Network User group Action
ILC SPbPU Local Network All Read Print Download
Internet Authorized users SPbPU Read Print Download
-> Internet Anonymous

Table of Contents

  • Cover
  • Title Page
  • Copyright Page
  • Book Series
  • Editorial Advisory Board
  • Table of Contents
  • Detailed Table of Contents
  • Foreword
  • Preface
  • Acknowledgment
  • Chapter 1: Issues and Challenges in Smart Farming for Sustainable Agriculture
  • Chapter 2: Image Processing Techniques Aiding Smart Agriculture
  • Chapter 3: Expert System Design for Diagnosis of Diseases for Paddy Crop
  • Chapter 4: Deep Learning and Computer Vision in Smart Agriculture
  • Chapter 5: Computer Vision for Green Plant Segmentation and Leaf Count
  • Chapter 6: Automatic Data Acquisition and Spot Disease Identification System in Plants Pathology Domain
  • Chapter 7: Applications of Data Mining Techniques in Smart Farming for Sustainable Agriculture
  • Chapter 8: Agro Guardian
  • Chapter 9: A Study on Technology-LED Solutions for Fruit Grading to Address Post-Harvest Handling Issues of Horticultural Crops
  • Chapter 10: Optimized Data Mining Techniques for Outlier Detection, Removal, and Management Zone Delineation for Yield Prediction
  • Compilation of References
  • About the Contributors
  • Index

Usage statistics

pdf/2216958.pdf

stat Access count: 0
Last 30 days: 0
Detailed usage statistics

epub/2216958.epub

stat Access count: 0
Last 30 days: 0
Detailed usage statistics