Towards the modeling and prediction of the yield of oilseed crops: A multi-machine learning approach

M Parsaeian, M Rahimi, A Rohani, SS Lawson - Agriculture, 2022 - mdpi.com
Crop seed yield modeling and prediction can act as a key approach in the precision
agriculture industry, enabling the reliable assessment of the effectiveness of agro-traits …

Elaeis species specific SNPs allow authentication of natural hybrids in a wild E. oleifera germplasm collection

M Ithnin, WT Vu, M Marjuni, MD Amiruddin… - Biocatalysis and …, 2024 - Elsevier
The study identified a set of species-specific SNPs (ssSNPs) distinguishing between
American populations of Elaeis oleifera and African populations of Elaeis guineensis. These …

Predicting phenotypes from high-dimensional genomes using gradient boosting decision trees

T Yu, L Wang, W Zhang, G Xing, J Han, F Li… - IEEE Access, 2022 - ieeexplore.ieee.org
xsxsGenomic selection (GS) is an emerging technique for predicting unknown phenotypes
using genome-wide marker coverage, allowing the use of efficient computational models to …

Oil Palm: Genome Designing for Improved Nutritional Quality

M Ithnin, A Othman, NIM Tahir, KB Banisetti… - Compendium of Crop …, 2023 - Springer
Edible palm oil products are free from trans fats, making them healthier and safe for
application in food industry. Palm oil contains valuable vitamins and phytonutrients that …

Towards modeling and predicting the yield of oilseed crops: Multi-machine learning techniques approach

M Parsaeian, M Rahimi, A Rohani, SS Lawson - 2022 - preprints.org
The modeling and prediction of crop seed yield can be a vital improvement in the precision
agriculture industry as it provides reliable assessments of the effectiveness of agro-traits …

[PDF][PDF] Towards the Modeling and Prediction of the Yield of Oilseed Crops: A Multi-Machine Learning Approach. Agriculture 2022, 12, 1739

M Parsaeian, M Rahimi, A Rohani, SS Lawson - 2022 - academia.edu
Crop seed yield modeling and prediction can act as a key approach in the precision
agriculture industry, enabling the reliable assessment of the effectiveness of agro-traits …