Label-efficient learning in agriculture: A comprehensive review

J Li, D Chen, X Qi, Z Li, Y Huang, D Morris… - … and Electronics in …, 2023 - Elsevier
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 …

[HTML][HTML] Object detection and tracking in Precision Farming: a systematic review

M Ariza-Sentís, S Vélez, R Martínez-Peña… - … and Electronics in …, 2024 - Elsevier
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 …

Open-World Semantic Segmentation Including Class Similarity

M Sodano, F Magistri, L Nunes… - Proceedings of the …, 2024 - openaccess.thecvf.com
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 …

[HTML][HTML] Grape yield estimation with a smartphone's colour and depth cameras using machine learning and computer vision techniques

B Parr, M Legg, F Alam - Computers and Electronics in Agriculture, 2023 - Elsevier
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 …

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 …

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 …

AgriSORT: A Simple Online Real-time Tracking-by-Detection framework for robotics in precision agriculture

L Saraceni, IM Motoi, D Nardi… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
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 …

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 …

[HTML][HTML] Boosting grape bunch detection in RGB-D images using zero-shot annotation with Segment Anything and GroundingDINO

RP Devanna, G Reina, FA Cheein, A Milella - Computers and Electronics in …, 2025 - Elsevier
Latest advances in artificial intelligence, particularly in object recognition and segmentation,
provide unprecedented opportunities for precision agriculture. This work investigates the …

Open-World Panoptic Segmentation

M Sodano, F Magistri, J Behley, C Stachniss - arXiv preprint arXiv …, 2024 - arxiv.org
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 …