Label-efficient learning in agriculture: A comprehensive review
The past decade has witnessed many great successes of machine learning (ML) and deep
learning (DL) applications in agricultural systems, including weed control, plant disease …
learning (DL) applications in agricultural systems, including weed control, plant disease …
[HTML][HTML] Object detection and tracking in Precision Farming: a systematic review
Abstract Object Detection and Tracking have gained importance in recent years because of
the great advances in image and video analysis techniques and the accurate results these …
the great advances in image and video analysis techniques and the accurate results these …
Open-World Semantic Segmentation Including Class Similarity
Interpreting camera data is key for autonomously acting systems such as autonomous
vehicles. Vision systems that operate in real-world environments must be able to understand …
vehicles. Vision systems that operate in real-world environments must be able to understand …
[HTML][HTML] Grape yield estimation with a smartphone's colour and depth cameras using machine learning and computer vision techniques
A smartphone with both colour and time of flight depth cameras is used for automated grape
yield estimation of Chardonnay grapes. A new technique is developed to automatically …
yield estimation of Chardonnay grapes. A new technique is developed to automatically …
Accurate Recognition of Jujube Tree Trunks Based on Contrast Limited Adaptive Histogram Equalization Image Enhancement and Improved YOLOv8
S Ling, N Wang, J Li, L Ding - Forests, 2024 - mdpi.com
The accurate recognition of tree trunks is a prerequisite for precision orchard yield
estimation. Facing the practical problems of complex orchard environment and large data …
estimation. Facing the practical problems of complex orchard environment and large data …
Deep learning-based instance segmentation architectures in agriculture: A review of the scopes and challenges
C Charisis, D Argyropoulos - Smart Agricultural Technology, 2024 - Elsevier
Deep learning (DL) based instance segmentation has attracted a growing research interest
in the scientific community to tackle precision agriculture problems over the past few years …
in the scientific community to tackle precision agriculture problems over the past few years …
AgriSORT: A Simple Online Real-time Tracking-by-Detection framework for robotics in precision agriculture
The problem of multi-object tracking (MOT) consists in detecting and tracking all the objects
in a video sequence while keeping a unique identifier for each object. It is a challenging and …
in a video sequence while keeping a unique identifier for each object. It is a challenging and …
Box-supervised dynamical instance segmentation for in-field cotton
Y Li, D Zheng, Y Liu - Computers and Electronics in Agriculture, 2023 - Elsevier
Crop growing information is important for precision agriculture. Instance segmentation can
be employed to extract not only the location and quantity information of objects from images …
be employed to extract not only the location and quantity information of objects from images …
[HTML][HTML] Boosting grape bunch detection in RGB-D images using zero-shot annotation with Segment Anything and GroundingDINO
Latest advances in artificial intelligence, particularly in object recognition and segmentation,
provide unprecedented opportunities for precision agriculture. This work investigates the …
provide unprecedented opportunities for precision agriculture. This work investigates the …
Open-World Panoptic Segmentation
Perception is a key building block of autonomously acting vision systems such as
autonomous vehicles. It is crucial that these systems are able to understand their …
autonomous vehicles. It is crucial that these systems are able to understand their …