03692nam a22005655i 4500 978-981-97-1506-0 DE-He213 20251030112301.0 cr nn 008mamaa 240605s2024 si | s |||| 0|eng d 9789819715060 978-981-97-1506-0 10.1007/978-981-97-1506-0 doi S494.5.B563 TVB bicssc TCB bicssc TEC003000 bisacsh TVB thema TCB thema Rajabpour, Ali. author. aut http://id.loc.gov/vocabulary/relators/aut 78361 Decision System in Agricultural Pest Management [electronic resource] / by Ali Rajabpour, Fatemeh Yarahmadi. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XV, 353 p. 215 illus., 166 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda 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. 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 develop integrated pest management (IPM) programs. The book is valuable for agricultural and entomological students (graduates and postgraduates), researchers, as well as pest managers and farmers. Agricultural biotechnology. Plant diseases. 67633 Agronomy. 69554 Agricultural Biotechnology. Plant Pathology. 67637 Agronomy. 69554 Yarahmadi, Fatemeh. author. aut http://id.loc.gov/vocabulary/relators/aut 78362 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819715053 Printed edition: 9789819715077 Printed edition: 9789819715084 https://doi.org/10.1007/978-981-97-1506-0 ZDB-2-SBL ZDB-2-SXB 60564 60564