Results 21 to 30 of about 1,208,308 (295)
Agriculture, 2021 Identification of yield deficits early in the growing season for cereal crops (e.g., Triticum aestivum) could help to identify more precise agronomic strategies for intervention to manage production.
Anna Florence +4 more
doaj +1 more source
Prediction of 24-hour milk yield and composition in dairy cows from a single part-day yield and sample [PDF]
, 2019 peer-reviewedTeagasc PublicationIrish Journal of Agricultural and Food Research | Volume 58: Issue 1 Prediction of 24-hour milk yield and composition in dairy cows from a single part-day yield and sample S.
Berry, Donagh +6 more
core +1 more source
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?
openaire +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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.
openaire +2 more sources
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
doaj +1 more source
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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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
openaire +5 more sources
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
doaj +1 more source