Results 221 to 230 of about 290,261 (262)

Predicting Well Yields —

Groundwater, 1967
ABSTRACT Two case histories are presented which illustrate that by analyzing drill cuttings or bailed samples, by knowing total depth of a test hole and position of the static water level, and by studying the driller's log, not only can a well's yield be predicted—but also drawdown may be predicted for any well in advance of a pumping
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Testing the Predictive Power of Dividend Yields

The Journal of Finance, 1993
ABSTRACTThis paper reexamines the ability of dividend yields to predict long‐horizon stock returns. We use the bootstrap methodology, as well as simulations, to examine the distribution of test statistics under the null hypothesis of no forecasting ability.
Goetzmann, William Nelson, Jorion, Philippe   +1 more
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Predicting the frequencies of transgressive segregants for yield and yield components in wheat

Theoretical and Applied Genetics, 1982
Genetical analysis of the F2 triple test cross design combined with conventional early generations was used to elucidate the genetical control of yield and yield components in two crosses of winter wheat. From estimates of the additive, {d}, and additive X additive, {i}, components of means, together with the additive genetical variance, D, predicted ...
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Modelling of Plant Growth for Yield Prediction

Agricultural Meteorology, 1974
ABSTRACT Splinter, W. E., 1974. Modelling of plant growth for yield prediction. Agric. Meteorol., 14: 243–253. A corn growth model is presented which requires three basic input parameters: average daily light intensity (ly), average daily temperature (°C) and soil resistance block reading (Ohms).
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Research on Apple Yield Prediction Model

2019
This paper has used a fuzzy comprehensive prediction method and taken tree vigor data from 29 orchards as samples. By using 23 of the total samples, the apple yield prediction model base on tree vigor is established. The test precision of the model is 96.36%.
Zhijun Wang, Xican Li, Yucun Wang, Shuhan Cheng   +3 more
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Yield prediction by sampling IC layout

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2000
This paper reports a survey sampling-based methodology for critical area and other property estimates of IC layout. A software implementation of the method, Edinburgh yield estimator sampling (EYES) is presented. The EYES tool implements the survey sampling-based methodology for critical area estimation enabling the yield prediction of ULSI chips.
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Predicting Collector Well Yields with MODFLOW

Groundwater, 2012
Groundwater flow models are commonly used to design new wells and wellfields. As the spatial scale of the problem is large and much local‐scale detail is not needed, modelers often utilize two‐dimensional (2D) or quasi three‐dimensional models based on the Dupuit‐Forchheimer assumption.
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Yield Prediction in Agriculture

2021
Eugenia Nissi, Annalina Sarra
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Grassland yield prediction

Grünlandflächen stellen mit einem Anteil von 70 % an der globalen landwirtschaftlichen Fläche die wichtigste Nutzungsform dar. Sie dienen der Futterproduktion und erbringen gleichzeitig eine Viel-zahl an Ökosystemdienstleistungen. Die Prognose des Biomasseertrags hilft bei der Optimierung des Grünlandmanagements und tragt dadurch zum langfristigen ...
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A Comprehensive Review of Crop Yield Prediction Using Machine Learning Approaches With Special Emphasis on Palm Oil Yield Prediction

IEEE Access, 2021
Bifta Sama Bari, Yusri Yusup, Mohamad Anuar Kamaruddin   +2 more
exaly