Results 31 to 40 of about 290,141 (263)
The Yield Curve and Predicting Recessions [PDF]
SSRN Electronic Journal, 2006 The slope of the Treasury yield curve has often been cited as a leading economic indicator, with inversion of the curve being thought of as a harbinger of a recession. In this paper, I consider a number of probit models using the yield curve to forecast recessions. Models that use both the level of the federal funds rate and the term spread give better
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Biomass Prediction of Heterogeneous Temperate Grasslands Using an SfM Approach Based on UAV Imaging
Agronomy, 2019 An early and precise yield estimation in intensive managed grassland is mandatory for economic management decisions. RGB (red, green, blue) cameras attached on an unmanned aerial vehicle (UAV) represent a promising non-destructive technology for the ...
Esther Grüner +2 more
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Corn Yield Prediction With Ensemble CNN-DNN [PDF]
Frontiers in Plant Science, 2021 We investigate the predictive performance of two novel CNN-DNN machine learning ensemble models in predicting county-level corn yields across the US Corn Belt (12 states). The developed data set is a combination of management, environment, and historical corn yields from 1980 to 2019.
Shahhosseini, Mohsen +3 more
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Creeping Bentgrass Yield Prediction With Machine Learning Models
Frontiers in Plant Science, 2021 Nitrogen is the most limiting nutrient for turfgrass growth. Instead of pursuing the maximum yield, most turfgrass managers use nitrogen (N) to maintain a sub-maximal growth rate.
Qiyu Zhou, Douglas J. Soldat
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Effects of canopy management practices on grapevine bud fruitfulness
OENO One, 2020 Background and aims: Bud fruitfulness is a key component of grapevine reproductive performance as it determines crop production for the following growing season.
Cassandra Collins +4 more
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Soil Systems, 2021 This paper introduces a new non-linear correlation analysis method based on a non-linear finite impulse response (NFIR) model to study and quantify the effects of ten soil properties on crop yield. Two versions of the NFIR model were implemented: NFIR-LN,
Rebecca L. Whetton +3 more
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Sensors, 2021 Phenology is an indicator of crop growth conditions, and is correlated with crop yields. In this study, a phenological approach based on a remote sensing vegetation index was explored to predict the yield in 314 counties within the US Corn Belt, divided ...
Zhonglin Ji +4 more
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Best prediction of yields for long lactations [PDF]
Journal of Dairy Science, 2009 Lactation records of any reasonable length now can be processed with the selection index method known as best prediction (BP). Previous prediction programs were limited to the 305-d standard used since 1935. Best prediction was implemented in 1998 to calculate lactation records in USDA genetic evaluations, replacing the test interval method used since ...
J B, Cole, D J, Null, P M, Vanraden
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An Empirical Method for Prediction of Cheese Yield [PDF]
Journal of Dairy Science, 2002 Theoretical cheese yield can be estimated from the milk fat and casein or protein content of milk using classical formulae, such as the VanSlyke formula. These equations are reliable predictors of theoretical or actual yield based on accurately measured milk fat and casein content.
C, Melilli +5 more
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A Review of CNN Applications in Smart Agriculture Using Multimodal Data
SensorsThis review explores the applications of Convolutional Neural Networks (CNNs) in smart agriculture, highlighting recent advancements across various applications including weed detection, disease detection, crop classification, water management, and yield
Mohammad El Sakka +3 more
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