Marketability of agricultural products depends heavily on appearance attributes such as
color, size, and ripeness. Sorting plays an important role in increasing marketability by …

Semantic segmentation is a fundamental vision task for agricultural robots to understand the
surrounding environments in natural orchards. The recent development of the LiDAR …

Increasing farm labour and input costs and the requirement for more orchard data are
leading to rapid advances in technology to improve management systems in fruit production …

The main characteristics of Narrow Orchard Systems (NOS) are (i) narrow canopies, with (ii)
multiple closely-spaced upright leaders and (iii) narrow inter-rows, regardless of tree …

A timely and accurate spatial inventory of flowering characteristics benefits both the floral
phenology monitoring in ecology and various crop management activities in agricultural …

Fruit skin colour is one of the most important visual fruit quality parameters driving consumer
preferences. Proximal sensors such as machine vision cameras can be used to detect skin …

Automatic in-field fruit recognition techniques can be used to estimate fruit number, fruit size,
fruit skin color, and yield in fruit crops. Fruit color and size represent two of the most …

Precision crop load management of apple requires counting fruiting structures at various
times during the year to guide management decisions. The objective of the current study …

It is important to evaluate the effect of fruit-tree pruning based on canopy-structure
characteristics so as to keep appropriate illumination for tree growth. However, current …

The nonuniform distribution of fruit tree canopies in space poses a challenge for precision
management. In recent years, with the development of Structure from Motion (SFM) …