Proceedings :: International Society of Precision Agriculture

Proceedings

Find matching any: Reset

Martins, T.M

Mattupalli, C

» Add more authors

Add filter to result:

Authors

Loganathan Girija, D

Usama Bin Sabir, S

Rathore, D

Khot, L.R

Mattupalli, C

Karkee, M

Martins, T.M

Tetila, E.C

Barbedo, J.G

Felipe, J.C

Zhao, L

Topics

Agricultural Robotics, Automation, and Mechanization

UAV-Based Scouting, Imaging, and Targeted Applications

Type

Poster

Year

2026

Home » Authors » Results

Authors

Filter results2 paper(s) found.
1. A Dual-Arm Machine-Vision-Guided Robotic System for High-Throughput Tissue Sampling in Potato Tubers High-throughput molecular pathogen detection in potato tubers requires tissue sampling methods that are both sensitive and specific. A critical step in this workflow is the manual extraction of tissue cores, which is labor-intensive and time-consuming, limiting scalability for large-scale diagnostics. To address this challenge, this study developed a machine-vision-guided, dual-arm coordinated inline robotic system that integrates tuber picking, rotation, and tissue sampling mechanisms. In this... D. Loganathan Girija, S. Usama Bin Sabir, D. Rathore, L.R. Khot, C. Mattupalli, M. Karkee
2. Enhancing Weed Detection in Corn Crops Through Attention-based Models and Curated Datasets Weed infestation is one of the leading causes of global agricultural productivity losses, directly impacting production costs, environmental sustainability, and food security. In precision agriculture, automated weed detection from aerial imagery enables site-specific herbicide application, reducing chemical overuse and environmental impact. Deep learning-based computer vision techniques have been widely adopted for this purpose, with Convolutional Neural Networks (CNNs) historically dominating... T.M. Martins, E.C. Tetila, J.G. Barbedo, J.C. Felipe, L. Zhao Download paper

Filter results2 paper(s) found.

1. A Dual-Arm Machine-Vision-Guided Robotic System for High-Throughput Tissue Sampling in Potato Tubers

High-throughput molecular pathogen detection in potato tubers requires tissue sampling methods that are both sensitive and specific. A critical step in this workflow is the manual extraction of tissue cores, which is labor-intensive and time-consuming, limiting scalability for large-scale diagnostics. To address this challenge, this study developed a machine-vision-guided, dual-arm coordinated inline robotic system that integrates tuber picking, rotation, and tissue sampling mechanisms. In this... D. Loganathan Girija, S. Usama Bin Sabir, D. Rathore, L.R. Khot, C. Mattupalli, M. Karkee

2. Enhancing Weed Detection in Corn Crops Through Attention-based Models and Curated Datasets

Weed infestation is one of the leading causes of global agricultural productivity losses, directly impacting production costs, environmental sustainability, and food security. In precision agriculture, automated weed detection from aerial imagery enables site-specific herbicide application, reducing chemical overuse and environmental impact. Deep learning-based computer vision techniques have been widely adopted for this purpose, with Convolutional Neural Networks (CNNs) historically dominating... T.M. Martins, E.C. Tetila, J.G. Barbedo, J.C. Felipe, L. Zhao

Download paper