Sami Khanal

Orcid: 0000-0003-3875-4054

According to our database1, Sami Khanal authored at least 14 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Integrating Automated Labeling Framework for Enhancing Deep Learning Models to Count Corn Plants Using UAS Imagery.
Sensors, October, 2024

Sugarcane Mosaic Virus Detection in Maize Using UAS Multispectral Imagery.
Remote. Sens., September, 2024

Remote Sensing of Chlorophyll-a and Water Quality over Inland Lakes: How to Alleviate Geo-Location Error and Temporal Discrepancy in Model Training.
Remote. Sens., August, 2024

Monitoring Harmful Algal Blooms and Water Quality Using Sentinel-3 OLCI Satellite Imagery with Machine Learning.
Remote. Sens., July, 2024

Climate change impacts on crop yields: A review of empirical findings, statistical crop models, and machine learning methods.
Environ. Model. Softw., 2024

2022
Development of a calibration approach using DNDC and PEST for improving estimates of management impacts on water and nutrient dynamics in an agricultural system.
Environ. Model. Softw., 2022

Assessing the efficacy of machine learning techniques to characterize soybean defoliation from unmanned aerial vehicles.
Comput. Electron. Agric., 2022

2021
Assessment of the Spatial and Temporal Patterns of Cover Crops Using Remote Sensing.
Remote. Sens., 2021

2020
Whole-Field Reinforcement Learning: A Fully Autonomous Aerial Scouting Method for Precision Agriculture.
Sensors, 2020

Remote Sensing in Agriculture - Accomplishments, Limitations, and Opportunities.
Remote. Sens., 2020

2019
Autonomic Computing Challenges in Fully Autonomous Precision Agriculture.
Proceedings of the 2019 IEEE International Conference on Autonomic Computing, 2019

2018
Integration of high resolution remotely sensed data and machine learning techniques for spatial prediction of soil properties and corn yield.
Comput. Electron. Agric., 2018

Integrating aerial images for in-season nitrogen management in a corn field.
Comput. Electron. Agric., 2018

2017
An overview of current and potential applications of thermal remote sensing in precision agriculture.
Comput. Electron. Agric., 2017


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