Deep learning (DL) represents the golden era in the machine learning (ML) domain, and it
has gradually become the leading approach in many fields. It is currently playing a vital role …

Accurate and fast tomato plant disease identification is significant to enhance its sustainable
agricultural productivity. In the conventional technique, human experts in the field of …

Instance segmentation, an important image processing operation for automation in
agriculture, is used to precisely delineate individual objects of interest within images, which …

The occurrence of apple diseases has dramatically affected the quality and yield of apples.
Disease monitoring is an important measure to ensure the healthy development of the apple …

Black rot, Black measles, Leaf blight and Mites of grape are four common grape leaf
diseases that seriously affect grape yield. However, the existing research lacks a real-time …

As the world becomes increasingly interconnected, emerging and innovative sensing
technologies are shaping the future of agriculture, with a special focus on sustainability …

In complex environments, overlapping leaves and uneven light can make pixels of leaf
edges difficult to identify, resulting in a poor segmentation performance of the target leaf. In …

Abstract Machine learning has created new opportunities for data-intensive study in
interdisciplinary domains as a result of the advancement of big data technologies and high …

At present, the DBSCAN clustering algorithm has been commonly used principally due to its
ability in discovering clusters with arbitrary shapes. When the cluster number K is …

In this paper, we propose a novel medial axis-based machine vision technique for
autonomous path tracking and navigation of an agricultural robot in orchards. In the …