標(biāo)題: Titlebook: Decision Support Systems for Weed Management; Guillermo R. Chantre,José L. González-Andújar Book 2020 Springer Nature Switzerland AG 2020 [打印本頁] 作者: 到凝乳 時(shí)間: 2025-3-21 17:31
書目名稱Decision Support Systems for Weed Management影響因子(影響力)
書目名稱Decision Support Systems for Weed Management影響因子(影響力)學(xué)科排名
書目名稱Decision Support Systems for Weed Management網(wǎng)絡(luò)公開度
書目名稱Decision Support Systems for Weed Management網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Decision Support Systems for Weed Management被引頻次
書目名稱Decision Support Systems for Weed Management被引頻次學(xué)科排名
書目名稱Decision Support Systems for Weed Management年度引用
書目名稱Decision Support Systems for Weed Management年度引用學(xué)科排名
書目名稱Decision Support Systems for Weed Management讀者反饋
書目名稱Decision Support Systems for Weed Management讀者反饋學(xué)科排名
作者: Counteract 時(shí)間: 2025-3-21 23:02 作者: Compassionate 時(shí)間: 2025-3-22 02:36
Decision Making in Radiation Oncologyement (IWM) studies are nonlinear, mixed integer and large scale, they are quite difficult to optimize. In this chapter, some basic elements of optimization are reviewed, with special emphasis in practical issues (modelling, programming), which are less covered than theoretical topics in the open literature.作者: CAGE 時(shí)間: 2025-3-22 07:50 作者: yohimbine 時(shí)間: 2025-3-22 10:44 作者: 漫不經(jīng)心 時(shí)間: 2025-3-22 13:44
Optimization in Decision Support Systemsement (IWM) studies are nonlinear, mixed integer and large scale, they are quite difficult to optimize. In this chapter, some basic elements of optimization are reviewed, with special emphasis in practical issues (modelling, programming), which are less covered than theoretical topics in the open literature.作者: 漫不經(jīng)心 時(shí)間: 2025-3-22 17:13 作者: FICE 時(shí)間: 2025-3-22 21:29 作者: cogitate 時(shí)間: 2025-3-23 03:24
Book 2020 has become highly dependent on external inputs and both economic costs, as well the negative environmental impact of agricultural activities, demands knowledge-based technology for the optimization and protection of non-renewable resources. In this context, weed management strategies should aim to 作者: 確定方向 時(shí)間: 2025-3-23 08:14
DRASTIC and PIRI GIS-Based Indexes: Assessing the Vulnerability and Risk of Groundwater Pollutionvide complementary information. Incorporating them into a decision support system would help policy makers to identify areas most vulnerable to groundwater pollution and develop herbicide usage guidelines that protect groundwater resources.作者: 榨取 時(shí)間: 2025-3-23 11:19
Ryegrass Integrated Management (RIM)–Based Decision Support Systemnes, BYGUM for . in Australia, PAM for . in the USA, Brome RIM for . spp. in Australia, Barley Grass RIM for . in Australia, SA-RIM for . in South Africa and DK-RIM for . in Denmark. This chapter will describe the rationale, structure and strengths of these RIM-based DSS to manage HR.作者: slow-wave-sleep 時(shí)間: 2025-3-23 15:24 作者: 意外的成功 時(shí)間: 2025-3-23 21:10 作者: 喃喃而言 時(shí)間: 2025-3-23 23:53 作者: indifferent 時(shí)間: 2025-3-24 03:55
Mathematical Modelsl models can be found in the book’s online appendix. It is concluded that weed modellers must be prepared to work in multidisciplinary teams and that they should be better at considering the needs of the DSS users. For purposes of quality control, the mathematical models should be published open-source, while the DSS itself might be proprietary.作者: GILD 時(shí)間: 2025-3-24 07:11 作者: CHOKE 時(shí)間: 2025-3-24 11:13
Mathematical Modelss discussed which kinds of models are best suited for different kinds of DSSs. The practical steps involved in model construction are outlined, keeping in mind that model construction is a process that must be integrated into the larger software development project launched to construct the whole DS作者: Encephalitis 時(shí)間: 2025-3-24 15:00 作者: 沙漠 時(shí)間: 2025-3-24 21:09 作者: 儲(chǔ)備 時(shí)間: 2025-3-25 01:44 作者: 辮子帶來幫助 時(shí)間: 2025-3-25 06:45
Weed Emergence Models perspectives: a reductionist/mechanistic approach and an empirical modelling viewpoint. While the former provides a close description of the basic ecophysiological processes underlying weed emergence (i.e. seed dormancy, germination and pre-emergence growth), they usually require a large amount of 作者: innate 時(shí)間: 2025-3-25 09:21 作者: implore 時(shí)間: 2025-3-25 13:21
Site-Specific Based Models-DSS), recent advances in the use of remote and ground platforms and sensors for information gathering and processing, and initial experiences translating this information into chemical and physical weed control actuations through decision algorithms and models.作者: Cubicle 時(shí)間: 2025-3-25 17:40
Theory and Practice for Environmental Risk Assessment: Understanding the Trade-Off Between the Benefowever, they have also jeopardized agroecosystem sustainability by causing negative alterations of social and environmental subsystems. The physicochemical properties of herbicides (volatility, adsorption, or water solubility) can make them persist in the soil, air, and water, changing the structure作者: Itinerant 時(shí)間: 2025-3-25 22:14
Environmental Risk Indicators for Weed Management: A Case Study of Ecotoxicity Assessment Using Fuzzr, development of theoretical frameworks and tools is necessary to allow for environmental assessment of herbicides. In this chapter, we present a series of elements that should be considered for designing these types of tools. In addition, we describe the structure of RIPEST, a simple model based o作者: perjury 時(shí)間: 2025-3-26 03:24 作者: 外觀 時(shí)間: 2025-3-26 06:22 作者: 喧鬧 時(shí)間: 2025-3-26 12:23
Ryegrass Integrated Management (RIM)–Based Decision Support Systemto manage herbicide resistance (HR). Its success as a DSS for HR management is proven by the various adaptations of RIM to a range of weed species and/or cropping systems: Multispecies RIM for . and . in Australia, Wild Radish RIM for . in Australia, PIM for . in Spain, RIMPhil for . in the Philippi作者: agonist 時(shí)間: 2025-3-26 15:50 作者: 傾聽 時(shí)間: 2025-3-26 16:50 作者: GIST 時(shí)間: 2025-3-26 23:08 作者: dilute 時(shí)間: 2025-3-27 01:35
Guillermo R. Chantre,José L. González-AndújarDiscusses mathematical modeling as an excellent framework for weed management.Addresses integrated weed management tactics from both operational and strategic time planning perspectives.Assesses the e作者: 潛伏期 時(shí)間: 2025-3-27 07:01 作者: 寵愛 時(shí)間: 2025-3-27 09:52 作者: 思想流動(dòng) 時(shí)間: 2025-3-27 15:54 作者: 憤慨點(diǎn)吧 時(shí)間: 2025-3-27 21:24 作者: deadlock 時(shí)間: 2025-3-28 00:26 作者: 騷動(dòng) 時(shí)間: 2025-3-28 02:45 作者: Original 時(shí)間: 2025-3-28 08:39
Syamal Kumar Sen,Ravi P. Agarwaldeveloped to predict yield loss. Empirical functions are the most commonly used models, which additionally provide information for weed threshold values. The limitations of such models are that they are based on statistical functions and usually do not consider biological insights for crop-weed inte作者: 跳動(dòng) 時(shí)間: 2025-3-28 13:56
Shaum S. Sridharan,Clark A. Rosen-DSS), recent advances in the use of remote and ground platforms and sensors for information gathering and processing, and initial experiences translating this information into chemical and physical weed control actuations through decision algorithms and models.作者: Decrepit 時(shí)間: 2025-3-28 16:29
Howard G. Birnbaum,Paul E. Greenbergowever, they have also jeopardized agroecosystem sustainability by causing negative alterations of social and environmental subsystems. The physicochemical properties of herbicides (volatility, adsorption, or water solubility) can make them persist in the soil, air, and water, changing the structure作者: antidote 時(shí)間: 2025-3-28 19:04 作者: dry-eye 時(shí)間: 2025-3-29 01:41 作者: Increment 時(shí)間: 2025-3-29 03:06
https://doi.org/10.1007/978-1-84628-819-7 techniques, to assess long-term effects and weed (dis)services. This chapter presents the mechanistic F.S. model, a “virtual field” simulating daily weed and crop growth and reproduction over the years, on which arable cropping systems can be experimented in temperate climates. The model inputs inc作者: guardianship 時(shí)間: 2025-3-29 09:36
Dynamic Adaptive Policy Pathways (DAPP)to manage herbicide resistance (HR). Its success as a DSS for HR management is proven by the various adaptations of RIM to a range of weed species and/or cropping systems: Multispecies RIM for . and . in Australia, Wild Radish RIM for . in Australia, PIM for . in Spain, RIMPhil for . in the Philippi作者: 座右銘 時(shí)間: 2025-3-29 13:27 作者: Mammal 時(shí)間: 2025-3-29 18:22 作者: 排斥 時(shí)間: 2025-3-29 19:45 作者: 懶惰民族 時(shí)間: 2025-3-30 00:30 作者: Largess 時(shí)間: 2025-3-30 04:12 作者: committed 時(shí)間: 2025-3-30 09:30 作者: arthroplasty 時(shí)間: 2025-3-30 15:31
Site-Specific Based Models-DSS), recent advances in the use of remote and ground platforms and sensors for information gathering and processing, and initial experiences translating this information into chemical and physical weed control actuations through decision algorithms and models.作者: angiography 時(shí)間: 2025-3-30 19:16
Modelling Weed Seedbank Dormancy and Germinationbanks are regulated by the environment. This framework is based on the distinction between those factors that regulate seasonal changes in the seedbank dormancy level (i.e. temperature in interaction with seed moisture content) and those factors that terminate dormancy (i.e. light and alternating te作者: 狂熱文化 時(shí)間: 2025-3-30 23:18
Weed Emergence Modelsoped using nonlinear regression (NLR) techniques. NLR sigmoidal type models which are based on cumulative thermal or hydrothermal time have become the most popular approach as they are easy to develop and use. However, some statistical and bioecological limitations arise, for example, the lack of in作者: 依法逮捕 時(shí)間: 2025-3-31 01:19
Weed Interference Models a descriptive approach. Weed interference models are an important part of the decision support systems to establish recommendations based on the economic quantification of different weed management strategies. Thus, these models are very useful tools for the development of integrated weed managemen作者: SAGE 時(shí)間: 2025-3-31 08:16 作者: 折磨 時(shí)間: 2025-3-31 10:23
How to Use a “Virtual Field” to Evaluate and Design Integrated Weed Management Strategies at Differeies, plant morphology and stage. To simplify the addition of new species, difficult-to-measure model parameters are estimated with functional relationships from easily measured species traits, trait databases and expert opinion. To simplify the comparison of cropping systems, the detailed daily and 作者: Fallibility 時(shí)間: 2025-3-31 14:29
