The escalating demand for palm oil necessitates enhanced production strategies. As the
trend shifts towards automated harvesting to meet the demand, precise ripeness …

The effects of two different edible coatings, chitosan (CH) and chitosan-loaded lemongrass
essential oil (CH+ LMO), on the quality parameters of strawberries, were investigated over a …

The combination of hyperspectral imaging and artificial neural network (ANN) can predict
fruit ripeness. This work investigated the application of hyperspectral imaging and ANN …

Oil content estimation in palm fruits is a precious property that significantly impacts oil palm
production, starting from the upstream and downstream. This content can be used to monitor …

Glycogen, amino acids, fatty acids, and other nutrient components affect the flavor and
nutritional quality of oysters. Methods based on near-infrared reflectance spectroscopy …

A Review of AI Techniques in Fruit Detection and Classification: Analyzing Data, Features and
AI Models Used in Agricultural Industry title Title Author Issue Keywords Current Issue : Vol …

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 …

Fruit oil content (FOC) is one of the most significant commercial characteristics in oil palm
output both in upstream and downstream phases. The NIR Spectroscopy approach was …

Multispectral imaging has many applications in agriculture, such as the prediction of the
internal qualities of fruit and vegetables. Multispectral is preferable to Hyperspectral imaging …

Volume measurement has used computer vision to estimate the mass of many types of fruits.
Capacity determination of a crude palm oil refinery involves the measurement of weight and …