Results 41 to 50 of about 10,061,248 (351)
Crop yield prediction integrating genotype and weather variables using deep learning [PDF]
, 2021 Accurate prediction of crop yield supported by scientific and domain-relevant insights, is useful to improve agricultural breeding, provide monitoring across diverse climatic conditions and thereby protect against climatic challenges to crop production ...
Ganapathysubramanian, Baskar +5 more
core
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
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
UAV-based multi-sensor data fusion and machine learning algorithm for yield prediction in wheat
Precision Agriculture, 2022 Early prediction of grain yield helps scientists to make better breeding decisions for wheat. Use of machine learning (ML) methods for fusion of unmanned aerial vehicle (UAV)-based multi-sensor data can improve the prediction accuracy of crop yield.
Shuaipeng Fei +8 more
semanticscholar +1 more source
Crop yield prediction integrating genotype and weather variables using deep learning. [PDF]
, 2020 Accurate prediction of crop yield supported by scientific and domain-relevant insights, is useful to improve agricultural breeding, provide monitoring across diverse climatic conditions and thereby protect against climatic challenges to crop production ...
Tryambak Gangopadhyay +11 more
core +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
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
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.
Mahore, Pallavi Shankarrao +1 more
openaire +1 more source
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
Crop Yield Prediction Using Machine Learning Models: Case of Irish Potato and Maize
Agriculture, 2023 Although agriculture remains the dominant economic activity in many countries around the world, in recent years this sector has continued to be negatively impacted by climate change leading to food insecurities.
Martin Kuradusenge +8 more
semanticscholar +1 more source