Hermit
发表于 2025-3-21 19:50:25
书目名称Data Science in Agriculture and Natural Resource Management影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0263124<br><br> <br><br>书目名称Data Science in Agriculture and Natural Resource Management影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0263124<br><br> <br><br>书目名称Data Science in Agriculture and Natural Resource Management网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0263124<br><br> <br><br>书目名称Data Science in Agriculture and Natural Resource Management网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0263124<br><br> <br><br>书目名称Data Science in Agriculture and Natural Resource Management被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0263124<br><br> <br><br>书目名称Data Science in Agriculture and Natural Resource Management被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0263124<br><br> <br><br>书目名称Data Science in Agriculture and Natural Resource Management年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0263124<br><br> <br><br>书目名称Data Science in Agriculture and Natural Resource Management年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0263124<br><br> <br><br>书目名称Data Science in Agriculture and Natural Resource Management读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0263124<br><br> <br><br>书目名称Data Science in Agriculture and Natural Resource Management读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0263124<br><br> <br><br>
LARK
发表于 2025-3-21 22:22:09
Gerhard X. Ritter,Gonzalo Urcidus spatial data, and integration of these datasets with ground-based observational data significantly enhanced the capabilities in mapping, monitoring, and forecasting various earth system processes. ML algorithms have vast potential in monitoring earth resources to provide timely information for si
鲁莽
发表于 2025-3-22 02:59:40
Vassilis G. Kaburlasos,Gerhard X. Ritteright amount of pesticide, irrigation water, and nutrients. The typical components of Precision Farming include background data, record-keeping systems, data analysis, and decision-making process, specialized implementation equipment, and evaluation and revision. Significant benefits of precision agr
重叠
发表于 2025-3-22 08:01:36
Angelos Barmpoutis,Gerhard X. Ritter by highlighting their computational efficiency and higher model interpretability in comparison with other earlier mentioned statistical learning techniques. This is followed by the introduction of basic terms and concepts necessary for understanding DT models and their associated statistical learni
MUTED
发表于 2025-3-22 11:14:23
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杀死
发表于 2025-3-22 14:40:09
José Luis Verdegay,Julio Brito,Carlos Cruztes which are required by the specific consumer. The recommendations can be generated by using the endogenous and exogenous data captured through IoT sensors and AI modeling. The architecture is generic and solutions can be designed to work for a range of foods/crops. The architecture is designed to
杀死
发表于 2025-3-22 18:46:01
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Notify
发表于 2025-3-23 00:47:36
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乐器演奏者
发表于 2025-3-23 04:34:41
Simultaneous Phasing of Multiple Polyploidsusefulness of the current data sources and methods, this chapter presents a methodology that combines seasonal weather forecasts, geo-spatial information derived from remote-sensing, risks posed by extreme events and crop growth models to estimate production risk at a regional scale. The method was
glomeruli
发表于 2025-3-23 09:25:09
https://doi.org/10.1007/978-3-319-24462-4asses, the clustering algorithms to group the objects into classes based on a given set of input variables, the regression algorithms to forecast a response variable from a given a set of covariates, and the dimensionality reduction algorithms to build a small set of new variables that includes most