Prediction of loquat soluble solids and titratable acid content using fruit mineral elements by artificial neural network and multiple linear regression

X Huang, H Wang, W Luo, S Xue, F Hayat, Z Gao - Scientia Horticulturae, 2021 - Elsevier
Mineral nutrient elements have an important impact on fruit quality, especially on soluble
solids (SSC), titratable acid content (TAC) and the ratio of soluble solids to titratable acid …

Seed yield prediction of sesame using artificial neural network

S Emamgholizadeh, M Parsaeian… - European Journal of …, 2015 - Elsevier
The prediction of seed yield is one of the most important breeding objectives in agricultural
research. So, in this study, two methods namely artificial neural network (ANN) and multiple …

Modeling the seed yield of Ajowan (Trachyspermum ammi L.) using artificial neural network and multiple linear regression models

M Niazian, SA Sadat-Noori, M Abdipour - Industrial Crops and Products, 2018 - Elsevier
Ajowan is a medicinal plant with useful pharmaceutical compounds in its seeds. Seed yield
improvement in ajowan through a better understanding of the relationship between seed …

Modeling Oil Content of Sesame (Sesamum indicum L.) Using Artificial Neural Network and Multiple Linear Regression Approaches

M Abdipour, SHR Ramazani… - Journal of the …, 2018 - Wiley Online Library
Sesame (Sesamum indicum L.) is an important ancient oilseed crop with high oil content
(OC) and quality. The direct selection to improve OC of sesame (OCS) due to low heritability …

Artificial neural network and multiple regression analysis models to predict essential oil content of ajowan (Carum copticum L.)

M Niazian, SA Sadat-Noori, M Abdipour - Journal of applied research on …, 2018 - Elsevier
Ajowan is an important medicinal plant that grows in arid and semi-arid regions of central
Europe, India, Egypt, Iran, Iraq, Afghanistan, and Pakistan. Essential oil is the most …

Development of a genomic tool for breed assignment by comparison of different classification models: Application to three local cattle breeds

H Wilmot, J Bormann, H Soyeurt… - Journal of Animal …, 2022 - Wiley Online Library
Assignment of individual cattle to a specific breed can often not rely on pedigree information.
This is especially the case for local breeds for which the development of genomic …

Modeling the Essential Oil and Trans-Anethole Yield of Fennel (Foeniculum vulgare Mill. var. vulgare) by Application Artificial Neural Network and Multiple Linear …

M Sabzi-Nojadeh, G Niedbała… - Agriculture, 2021 - mdpi.com
Foeniculum vulgare Mill.(commonly known as fennel) is used in the pharmaceutical,
cosmetic, and food industries. Fennel widely used as a digestive, carminative, galactagogue …

Machine learning-aided ultra-low-density single nucleotide polymorphism panel helps to identify the Tharparkar cattle breed: lessons for digital transformation in …

H Kumar, M Panigrahi, D Seo, S Cho… - OMICS: A Journal of …, 2024 - liebertpub.com
Cattle breed identification is crucial for livestock research and sustainable food systems, and
advances in genomics and artificial intelligence present new opportunities to address these …

Breed identification of meat using machine learning and breed tag SNPs

Z Xu, S Diao, J Teng, Z Chen, X Feng, X Cai, X Yuan… - Food Control, 2021 - Elsevier
Numerous influential animal breeds and plant varieties provide high-quality and nutritious
foods for human. The popularity and high profit of premium foods usually accompany with …

Breed identification using breed-informative SNPs and machine learning based on whole genome sequence data and SNP chip data

C Zhao, D Wang, J Teng, C Yang, X Zhang… - Journal of Animal …, 2023 - Springer
Background Breed identification is useful in a variety of biological contexts. Breed
identification usually involves two stages, ie, detection of breed-informative SNPs and breed …