03447nam a22005055i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001600172072001600188072001600204072002300220072001500243072001500258100008400273245011500357250001800472264007200490300006600562336002600628337002600654338003600680347002400716505051400740520117901254650003202433650002702465650002102492650003202513650002802545650002102573700008802594710003402682773002602716776003602742776003602778776003602814856004602850912001402896912001402910999001702924978-981-97-1506-0DE-He21320251030112301.0cr nn 008mamaa240605s2024    si |    s    |||| 0|eng d  a97898197150609978-981-97-1506-07 a10.1007/978-981-97-1506-02doi 4aS494.5.B563 7aTVB2bicssc 7aTCB2bicssc 7aTEC0030002bisacsh 7aTVB2thema 7aTCB2thema1 aRajabpour, Ali.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut97836110aDecision System in Agricultural Pest Managementh[electronic resource] /cby Ali Rajabpour, Fatemeh Yarahmadi.  a1st ed. 2024. 1aSingapore :bSpringer Nature Singapore :bImprint: Springer,c2024.  aXV, 353 p. 215 illus., 166 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda0 aChapter 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.  aThis 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. 0aAgricultural biotechnology. 0aPlant diseases.967633 0aAgronomy.96955414aAgricultural Biotechnology.24aPlant Pathology.96763724aAgronomy.9695541 aYarahmadi, Fatemeh.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut9783622 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978981971505308iPrinted edition:z978981971507708iPrinted edition:z978981971508440uhttps://doi.org/10.1007/978-981-97-1506-0  aZDB-2-SBL  aZDB-2-SXB  c60564d60564