Traditional palm oil production methods for evaluating fruit bunches (FFBs) are inefficient,
costly, and have limited coverage. This study evaluates the performance of various YOLO …

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 …

Deep learning-based intelligent recognition algorithms are increasingly recognized for their
potential to address the labor-intensive challenge of manual pest detection. However, their …

Oil palm fresh fruit bunches (FFBs) are the raw material of crude palm oil (CPO) on which
ripeness levels of FFBs are essential to obtain good quality CPO. Most palm oil mills use …

Real-time object identification is of significantly importance across many industries,
including agriculture. Since it has the potential to optimize efficiency and accuracy in tasks …

In multicultural markets, language barriers hinder effective communication between
customers and native-speaking vendors while identifying vegetables. This delays the …

This comprehensive review paper explores innovative strategies for quality assessment in
agriculture and food industries, which offer greater efficiency and cost efficiency compared to …

This research paper instigates an Artificial Intelligence-based Yield Phenoty** Framework
tuned for fruit classification and grading. Fruit species exhibit homogeneity in color, shape …

Determining the maturity of palm oil fruit is very important to improve the quality and quantity
of palm oil production. This research examines the use of deep learning technology to …

Tomatoes are a widely cultivated crop with various applications in the food industry.
Automating the process of detecting and counting tomatoes during different growth stages is …