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Artificial neural network and random forest regression models for modelling fatty acid and tocopherol content in oil of winter rapeseed
(Elsevier, 2023)
With the aid of models used in artificial intelligence, a wide range of data can be processed quickly with high accuracy. The quality of rapeseed oil from 40 genotypes cultivated during four consecutive years was analysed. ...
New approaches in phenotype prediction – machine learning techniques
(Paris : International Sunflower AssociationNovi Sad : Institute of Field and Vegetable Crops, 2022)
Use of multivariate modelling in order to improve prediction accuracy has been widely applied in plant breeding programs. In these models phenotype prediction is based on large number of independent variables which is at ...
Feature selection and performance assessment of machine learning algorithms for sunflower oil yield prediction
(Paris : International Sunflower AssociationNovi Sad : Institute of Field and Vegetable Crops, 2022)
Rapid innovation and liberalized market economy in agriculture require a fast and accurate Sunflower Oil Yield Prediction (SOYP). SOYP is a complex task since it depends on multiple factors. Machine Learning (ML) algorithms ...
SmartSun projekat: multidisciplinarni pristup u potrazi za “klimatski pametnim” suncokretom / SmartSun project: a multidisciplinary approach for unveiling a “climate-smart” sunflower
(Beograd : Društvo genetičara SrbijeBeograd : Društvo selekcionera i semenara Srbije, 2023)
Klimatske promene negativno utiču na proizvodnju ratarskih useva, posebno tokom dugih sušnih perioda. Jedan od ključnih pristupa za ublažavanje uticaja ekstremnih klimatskih uslova je oplemenjivanje useva kako bi se ...
Primena modela veštačke neuronske mreže u poljoprivredi i industriji ulja / Application of artificial neural network model in agriculture and oil industry
(Novi Sad : Univerzitet u Novom Sadu, Tehnološki fakultetNovi Sad : Institut za ratarstvo i povrtarstvoNovi Sad : Industrijsko bilje, 2022)
Veštačka neuronska mreža (VNM) predstavlja matematički alat veštačke
inteligencije, koju čini mreža međusobno povezanih neurona, koji poput mozga
imaju sposobnost obrade podataka, učenja, i pamćenja. Model VNM pruža ...
Artificial neural network and random forest regression models for modelling fatty acid and tocopherol content in oil of winter rapeseed
(Elsevier, 2023)
With the aid of models used in artificial intelligence, a wide range of data can be processed quickly with high accuracy. The quality of rapeseed oil from 40 genotypes cultivated during four consecutive years was analysed. ...
High-throughput phenotyping for non-destructive estimation of soybean fresh biomass using a machine learning model and temporal UAV data
(Springer Nature, 2023)
Biomass accumulation as a growth indicator can be significant in achieving high and stable soybean yields. More robust genotypes have a better potential for exploiting available resources such as water or sunlight. Biomass ...
Creating climate smart sunflower for future challenges – the SMARTSUN multidisciplinary project
(Paris : International Sunflower AssociationNovi Sad : Institute of Field and Vegetable Crops, 2022)
Among the effects of wide-ranging climate change, drought presents a significant threat to global agricultural production. Drought reduces yield quantity and quality of crops, particularly in the semiarid and arid regions. ...
Oil yield prediction for sunflower hybrid selection using different machine learning algorithms
(Nature Portfolio, 2023)
Due to the increased demand for sunfower production, its breeding assignment is the ntensifcation
of the development of highly productive oil seed hybrids to satisfy the edible oil industry. Sunfower
Oil Yield Prediction ...
Prediction of Soybean Plant Density Using a Machine Learning Model and Vegetation Indices Extracted from RGB Images Taken with a UAV
(Basel : MDPI, 2020)
Soybean plant density is an important factor of successful agricultural production. Due to the high number of plants per unit area, early plant overlapping and eventual plant loss, the estimation of soybean plant density ...