Paudel Achyut

According to our database, Paudel Achyut authored at least 7 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Integrating Feature Selection and Machine Learning for Nitrogen Assessment in Grapevine Leaves using In-Field Hyperspectral Imaging.

Atif Bilal Asad, Paudel Achyut, Safal Kshetri, Chenchen Kang, Salik Ram Khanal, Nataliya Shcherbatyuk, Pierre Davadant, R. Paul Schreiner, Santosh Kalauni, Manoj Karkee, Markus Keller

CoRR, July, 2025

Image, Text, and Speech Data Augmentation using Multimodal LLMs for Deep Learning: A Survey.

Ranjan Sapkota, Shaina Raza, Maged Shoman, Paudel Achyut, Manoj Karkee

CoRR, January, 2025

Machine vision-based assessment of fall color changes in apple leaves and its relationship with nitrogen concentration.

Paudel Achyut, Jostan Brown, Priyanka Upadhyaya, Atif Bilal Asad, Safal Kshetri, Joseph R. Davidson, Cindy Grimm, Ashley Thompson, Bernardita V. Sallato, Matthew D. Whiting, Manoj Karkee

Comput. Electron. Agric., 2025

2024

Zero-Shot Automatic Annotation and Instance Segmentation using LLM-Generated Datasets: Eliminating Field Imaging and Manual Annotation for Deep Learning Model Development.

Ranjan Sapkota, Paudel Achyut, Manoj Karkee

CoRR, 2024

Machine Vision Based Assessment of Fall Color Changes in Apple Trees: Exploring Relationship with Leaf Nitrogen Concentration.

Paudel Achyut, Jostan Brown, Priyanka Upadhyaya, Atif Bilal Asad, Safal Kshetri, Manoj Karkee, Joseph R. Davidson, Cindy Grimm, Ashley Thompson

CoRR, 2024

Tree detection and in-row localization for autonomous precision orchard management.

Jostan Brown, Paudel Achyut, Deven Biehler, Ashley Thompson, Manoj Karkee, Cindy Grimm, Joseph R. Davidson

Comput. Electron. Agric., 2024

2023

Estimating soil and grapevine water status using ground based hyperspectral imaging under diffused lighting conditions: Addressing the effect of lighting variability in vineyards.

Chenchen Kang, Geraldine Diverres, Paudel Achyut, Manoj Karkee, Qin Zhang, Markus Keller

Comput. Electron. Agric., September, 2023