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024 7 $a10.1007/978-981-15-4728-7
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035   $a(DE-He213)978-981-15-4728-7
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035   $a(MiAaPQ)EBC6264037
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100   $a20200713d2020      u|         0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aSystems Modeling /$fedited by Mukhtar Ahmed
205   $a1st ed. 2020.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020.
215   $a1 online resource (XI, 425 p. 152 illus., 101 illus. in color.)
311 08$a981-15-4727-0 
327   $aChapter 1. Systems Modeling -- Chapter 2. Crop Phenotyping -- Chapter 3. Statistics and Modeling -- Chapter 4. Dynamic Modeling -- Chapter 5. Models Calibration and Evaluation -- Chapter 6. Wheat crop modeling for higher production -- Chapter 7. Genetic Analysis -- Chapter 8. Sugarcane: Contribution of process-based models for understanding and mitigating impacts of climate variability and change on production -- Chapter 9. Forecasting of rainfed wheat yield in Pothwar using Landsat 8 satellite imagery and DSSAT -- Chapter 10. Methane production in dairy cows, inhibition, measurement and predicting models -- Chapter 11. Sunflower Modeling: A Review -- Chapter 12. Disease Modeling as a Tool to Assess the Impacts of Climate Variability on Plant Diseases and Health -- Chapter 13. Chickpea Modeling under Rainfed Conditions -- Chapter 14. Potato Modeling -- Chapter 15. Application of Generalised Additive Model for Rainfall Forecasting in Rainfed Pothwar Pakistan. .
330   $aAchieving food security and economic developmental objectives in the face of climate change and rapid population growth requires systems modelling approaches, for example in the design of sustainable agriculture farming systems. Such approaches increase our understanding of system responses to different soil and climatic conditions, and provide insights into the effects of various variable climate change scenarios, providing valuable information for decision-makers. Further, in the agricultural sector, systems modelling can help optimise crop management and adaptation measures to boost productivity under variable climatic conditions. Presenting key outcomes from crop models used in agricultural systems this book is a valuable resource for professionals interested in using modelling approaches to manage the growth and improve the quality of various crops. .
606   $aAgriculture
606   $aEcology
606   $aComputer science
606   $aAgriculture$3https://scigraph.springernature.com/ontologies/product-market-codes/L11006
606   $aEnvironment, general$3https://scigraph.springernature.com/ontologies/product-market-codes/U00009
606   $aComputer Science, general$3https://scigraph.springernature.com/ontologies/product-market-codes/I00001
606   $aSimulació per ordinador$2thub
606   $aAgricultura$2thub
606   $aCanvi climàtic$2thub
608   $aLlibres electrònics$2thub
615  0$aAgriculture.
615  0$aEcology.
615  0$aComputer science.
615 14$aAgriculture.
615 24$aEnvironment, general.
615 24$aComputer Science, general.
615  7$aSimulació per ordinador.
615  7$aAgricultura.
615  7$aCanvi climàtic.
676   $a378.1662
702   $aAhmed$b Mukhtar$4edt$4http://id.loc.gov/vocabulary/relators/edt
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906   $aBOOK
912   $a9910416106903321
996   $aSystems Modeling$92513087
997   $aUNINA