Leigh M. Schmidtke

According to our database, Leigh M. Schmidtke authored at least 7 papers between 2018 and 2024.

Collaborative distances:

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

2024

Unveiling Soil-Vegetation Interactions: Reflection Relationships and an Attention-Based Deep Learning Approach for Carbon Estimation.

Dristi Datta, Manoranjan Paul, M. Manzur Murshed, Shyh Wei Teng, Leigh M. Schmidtke

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023

Novel Dry Soil and Vegetation Indices to Predict Soil Contents from Landsat 8 Satellite Data.

Dristi Datta, Manoranjan Paul, M. Manzur Murshed, Shyh Wei Teng, Leigh M. Schmidtke

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

2022

Soil Moisture, Organic Carbon, and Nitrogen Content Prediction with Hyperspectral Data Using Regression Models.

Dristi Datta, Manoranjan Paul, M. Manzur Murshed, Shyh Wei Teng, Leigh M. Schmidtke

Sensors, 2022

2021

Identifying Individual Nutrient Deficiencies of Grapevine Leaves Using Hyperspectral Imaging.

Sourabhi Debnath, Manoranjan Paul, D. M. Motiur Rahaman, Tanmoy Debnath, Lihong Zheng, Tintu Baby, Leigh M. Schmidtke, Suzy Y. Rogiers

Remote. Sens., 2021

2020

Hyperspectral Imaging to detect Age, Defects and Individual Nutrient Deficiency in Grapevine Leaves.

Manoranjan Paul, Sourabhi Debnath, Tanmoy Debnath, Suzy Y. Rogiers, Tintu Baby, D. M. Motiur Rahaman, Lihong Zheng, Leigh M. Schmidtke

CoRR, 2020

2019

Grapevine Nutritional Disorder Detection Using Image Processing.

D. M. Motiur Rahaman, Tintu Baby, Alex Oczkowski, Manoranjan Paul, Lihong Zheng, Leigh M. Schmidtke, Bruno P. Holzapfel, Rob R. Walker, Suzy Y. Rogiers

Proceedings of the Image and Video Technology - 9th Pacific-Rim Symposium, 2019

2018

Computer Vision and Machine Learning for Viticulture Technology.

Kah Phooi Seng, Li-Minn Ang, Leigh M. Schmidtke, Suzy Y. Rogiers

IEEE Access, 2018