Results 21 to 30 of about 290,261 (262)
International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2021 Cotton, popularly known as White Gold has been an important commercial crop of National significance due to the immense influence of its rural economy. Transfer of technology to identify the quality of fibre is gaining importance for crop yield is compared with Random forest, Support Vector Machine, Weather, K Nearest neighbor.
Pallavi Shankarrao Mahore +1 more
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Exploring the Potential of High Resolution WorldView-3 Imagery for Estimating Yield of Mango
Remote Sensing, 2018 Pre-harvest yield estimation of mango fruit is important for the optimization of inputs and other resources on the farm. Current industry practice of visual counting the fruit on a small number of trees for yield forecasting can be highly inaccurate due ...
Muhammad Moshiur Rahman +2 more
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Prediction of Field-Scale Wheat Yield Using Machine Learning Method and Multi-Spectral UAV Data
Remote Sensing, 2022 Accurate prediction of food crop yield is of great significance for global food security and regional trade stability. Since remote sensing data collected from unmanned aerial vehicle (UAV) platforms have the features of flexibility and high resolution ...
Chaofa Bian +9 more
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A Multispectral UAV Imagery Dataset of Wheat, Soybean and Barley Crops in East Kazakhstan
Data, 2023 This study introduces a dataset of crop imagery captured during the 2022 growing season in the Eastern Kazakhstan region. The images were acquired using a multispectral camera mounted on an unmanned aerial vehicle (DJI Phantom 4).
Almasbek Maulit +4 more
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Modelling: Predictive yield [PDF]
Nature, 2013 Farmers would benefit from better long-range weather forecasts. What else can science provide to help them decide what to plant?
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Artificial Neural Network Based Apple Yield Prediction Using Morphological Characters
Horticulturae, 2023 The yield of the crop is a complex function of a number of dependent traits, which makes yield prediction a statistically difficult task. A number of work on yield prediction using morphological characters already exists in the literature.
Bharti +5 more
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CONSISTENT YIELD CURVE PREDICTION
ASTIN Bulletin, 2016 AbstractWe present an arbitrage-free non-parametric yield curve prediction model which takes the full discretized yield curve data as input state variable. Absence of arbitrage is a particularly important model feature for prediction models in case of highly correlated data as, for instance, interest rates.
Teichmann, Josef, Wüthrich, Mario V.
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High-Resolution Flowering Index for Canola Yield Modelling
Remote Sensing, 2022 Canola (Brassica napus), with its prominent yellow flowers, has unique spectral characteristics and necessitates special spectral indices to quantify the flowers. This study investigated four spectral indices for high-resolution RGB images for segmenting
Hansanee Fernando +6 more
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Remote Sensing, 2022 This paper presents the development and update of a multi-scale yield prediction model for processing tomatoes. The study was carried out under the EU-funded programme “Support to Development of a Rural Business Information System (RBIS)”, and the ...
Vasilis Psiroukis +5 more
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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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