Proceedings :: International Society of Precision Agriculture

Proceedings

Find matching any: Reset

Su, W

» Add more authors

Add filter to result:

Authors

Su, W

Topics

Predictive Modeling, Phenotyping, and Digital Tools for Decision Support

Artificial Intelligence, Big Data, and Advanced Analytics in Agriculture

Agricultural Robotics, Automation, and Mechanization

Invited Presentations

Type

Poster

Oral

Year

2026

Home » Authors » Results

Authors

Filter results4 paper(s) found.
1. Precision Phenotyping for Yield Prediction in Soybean In the contemporary landscape of Precision Agriculture 4.0, the rapid and non-destructive quantification of plant structural traits is a cornerstone for accelerating soybean breeding programs and optimizing field-level cultivation strategies. Traditional manual phenotyping methodologies are inherently limited by high labor intensity, significant subjectivity, and low throughput, which hinder the ability to analyze large populations during critical reproductive stages. To bridge this gap,... W. Su Download paper
2. A Real-Time Intelligent Framework for Wheat Stripe Rust Management Using Lightweight Deep Learning and LLMs Wheat stripe rust (Puccinia striiformis f. sp. tritici) poses a severe threat to global food security, necessitating rapid and precise disease grading for site-specific intervention. While edge-computing devices offer on-site monitoring potential, balancing real-time accuracy with cognitive decision-making remains a challenge. This study proposes an integrated intelligence framework that synergistically fuses lightweight visual perception with Large Language Model (LLM)-driven cognitive reasoning.The... W. Su, W. Su, W. Su, W. Su, W. Su Download paper
3. A High-Precision Laser Weeding System for Lettuce Fields Weeds in lettuce (Lactuca sativa L.) fields compete aggressively for essential resources, significantly hindering crop productivity. To enable non-chemical, high-precision weed management, this study developed an integrated laser weeding system leveraging a novel YOLO11-GDCNet algorithm and a compact galvanometer scanning device. The proposed YOLO11-GDCNet enhances the baseline YOLO11n-pose by incorporating GSConv and DualConv modules to reduce computational overhead while improving... W. Su Download paper
4. Innovations in Agricultural Robotics Weeds have long constrained high-quality crop production, whilst prolonged reliance on chemical weed control has raised concerns over pesticide residues, environmental pollution, enhanced herbicide resistance in weeds, and declining agricultural sustainability. Laser weed control, characterised by non-contact operation, residue-free treatment, and strong targeting capability, is emerging as an important physical weed control approach in precision and green agriculture. This review emphasises that... W. Su Download paper

Filter results4 paper(s) found.

1. Precision Phenotyping for Yield Prediction in Soybean

In the contemporary landscape of Precision Agriculture 4.0, the rapid and non-destructive quantification of plant structural traits is a cornerstone for accelerating soybean breeding programs and optimizing field-level cultivation strategies. Traditional manual phenotyping methodologies are inherently limited by high labor intensity, significant subjectivity, and low throughput, which hinder the ability to analyze large populations during critical reproductive stages. To bridge this gap,... W. Su

Download paper

2. A Real-Time Intelligent Framework for Wheat Stripe Rust Management Using Lightweight Deep Learning and LLMs

Wheat stripe rust (Puccinia striiformis f. sp. tritici) poses a severe threat to global food security, necessitating rapid and precise disease grading for site-specific intervention. While edge-computing devices offer on-site monitoring potential, balancing real-time accuracy with cognitive decision-making remains a challenge. This study proposes an integrated intelligence framework that synergistically fuses lightweight visual perception with Large Language Model (LLM)-driven cognitive reasoning.The... W. Su, W. Su, W. Su, W. Su, W. Su

Download paper

3. A High-Precision Laser Weeding System for Lettuce Fields

Weeds in lettuce (Lactuca sativa L.) fields compete aggressively for essential resources, significantly hindering crop productivity. To enable non-chemical, high-precision weed management, this study developed an integrated laser weeding system leveraging a novel YOLO11-GDCNet algorithm and a compact galvanometer scanning device. The proposed YOLO11-GDCNet enhances the baseline YOLO11n-pose by incorporating GSConv and DualConv modules to reduce computational overhead while improving... W. Su

Download paper

4. Innovations in Agricultural Robotics

Weeds have long constrained high-quality crop production, whilst prolonged reliance on chemical weed control has raised concerns over pesticide residues, environmental pollution, enhanced herbicide resistance in weeds, and declining agricultural sustainability. Laser weed control, characterised by non-contact operation, residue-free treatment, and strong targeting capability, is emerging as an important physical weed control approach in precision and green agriculture. This review emphasises that... W. Su

Download paper