Decision System in Agricultural Pest Management

2024
ISBN: 978-981-97-1505-3
Verlag: Springer Nature Singapore

Buch, Englisch, 353 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 790 g

This book covers the theoretical and practical aspects of pest population components, explaining the probable reasons for pest density fluctuations and outbreaks in agricultural or other ecosystems.

Agricultural pest management is a complex task that involves dealing with a variety of pests, including insects, diseases, and weeds. Decision systems can help farmers navigate this complexity by providing structured approaches to identify, monitor, and control pests. By making informed decisions based on data and models, farmers can reduce unnecessary pesticide applications, minimizing environmental impact and saving costs. This book aids in predicting pest outbreaks using population growth parameters and estimating economic crop losses through critical thresholds, illustrated with simple case studies. Additionally, the book covers image processing, remote sensing monitoring, and other novel methods for monitoring and quickly forecasting pest population outbreaks to developintegrated pest management (IPM) programs.

The book is valuable for agricultural and entomological students (graduates and postgraduates), researchers, as well as pest managers and farmers.

Zielgruppe

Research

Autoren/Hrsg.

Yarahmadi, Fatemeh

Rajabpour, Ali

Fachgebiete

• Naturwissenschaften Agrarwissenschaften Agrarwissenschaften
• Naturwissenschaften Biowissenschaften Botanik Pflanzenpathologie, Pflanzenkrankheiten

Inhaltsverzeichnis

Chapter 1 - Introduction.- Chapter 2 - Population components of pests.- Chapter 3 - Monitoring and population density estimation.- Chapter 4 - Population fluctuations and dispersions.- Chapter 5 - Sampling program.- Chapter 6 - Decision-making levels.- Chapter 7 - Temperature-dependent models for predicting poikilotherm pest occurrence.- Chapter 8 - Biodiversity and pest outbreaks.- Chapter 9 - Remote Sensing, Geographic Information System (GIS) and Machine learning in the pest status monitoring.

Über Autor(innen)

Dr. Ali Rajabpour is a Professor (full) of Entomology at Agricultural Sciences and Natural Resources University of Khuzestan, Bavi, Iran. He has been employed as an academic member since 2011. Ali Rajabpour’s research interests are primarily in insect population ecology and integrated pest management (IPM). He has published more than 75 research articles, 9 text books, and more than 100 conference papers. He has worked as an editorial board of the Journal of Plant Diseases and Protection, a Springer journal.

Dr. Fatemeh Yarahamadi is a Professor (full) of Entomology at Agricultural Sciences and Natural Resources University of Khuzestan, Bavi, Iran. Her research is focused on IPM, especially for insecticide applications. She has published more than 50 research papers, 6 text books, and 90 conference papers. She has contributed to more than 20 international and national scientific journals as reviewers. She is also a member of the entomological society of Iran.