A comprehensive review of crop yield prediction using machine learning approaches with special emphasis on palm oil yield prediction
An early and reliable estimation of crop yield is essential in quantitative and financial
evaluation at the field level for determining strategic plans in agricultural commodities for …
evaluation at the field level for determining strategic plans in agricultural commodities for …
Oil palm and machine learning: Reviewing one decade of ideas, innovations, applications, and gaps
Machine learning (ML) offers new technologies in the precision agriculture domain with its
intelligent algorithms and strong computation. Oil palm is one of the rich crops that is also …
intelligent algorithms and strong computation. Oil palm is one of the rich crops that is also …
Hybrid ANN models for durability of GFRP rebars in alkaline concrete environment using three swarm-based optimization algorithms
This study investigates the non-linearity of GFRP degradation in terms of tensile strength
retention (TSR) encompassing five input variables (ie, diameter of GFRP rebar, volume …
retention (TSR) encompassing five input variables (ie, diameter of GFRP rebar, volume …
Oil palm fresh fruit bunch ripeness detection methods: A systematic review
The increasing severity of the labour shortage problem in the Malaysian palm oil industry
has created a need to explore other avenues for harvesting oil palm fresh fruit bunches …
has created a need to explore other avenues for harvesting oil palm fresh fruit bunches …
[HTML][HTML] Advancements in machine visions for fruit sorting and grading: A bibliometric analysis, systematic review, and future research directions
This research conducted a bibliometric analysis of scholarly literature on fruit sorting and
grading using machine vision, identifying primary themes, sources, most-cited publications …
grading using machine vision, identifying primary themes, sources, most-cited publications …
Video based oil palm ripeness detection model using deep learning
FA Junior - Heliyon, 2023 - cell.com
Research on oil palm detection has been carried out for years, but there are only a few
research that have conducted research using video datasets and only focus on development …
research that have conducted research using video datasets and only focus on development …
Machine learning modeling for the prediction of materials energy
M Mouzai, S Oukid, A Mustapha - Neural Computing and Applications, 2022 - Springer
Abstract Machine learning (ML) is a fast-evolving field of artificial intelligence that has been
applied in many domains due to the increasing availability of computerized databases …
applied in many domains due to the increasing availability of computerized databases …
Improved hybrid feature extractor in lightweight convolutional neural network for postharvesting technology: automated oil palm fruit grading
Grading of oil palm fresh fruit bunches (FFB) plays a vital role in the postharvest operation as
it directly influences the extraction rate of oil palm, thereby ensuring quality control in the …
it directly influences the extraction rate of oil palm, thereby ensuring quality control in the …
[HTML][HTML] Machine learning for automated oil palm fruit grading: The role of fuzzy C-means segmentation and textural features
Oil palm fruit, a high-demand and economically valuable crop, faces grading challenges in
Malaysia due to labour-intensive methods, resulting in unharvested ripe fruits and yield …
Malaysia due to labour-intensive methods, resulting in unharvested ripe fruits and yield …
Correlation study between the organic compounds and ripening stages of oil palm fruitlets based on the Raman spectra
The degree of maturity of oil palm fresh fruit bunches (FFB) at the time of harvest heavily
affects oil production, which is expressed in the oil extraction rate (OER). Oil palm harvests …
affects oil production, which is expressed in the oil extraction rate (OER). Oil palm harvests …