Yash P. Dang

According to our database, Yash P. Dang authored at least 8 papers between 2018 and 2024.

Collaborative distances:

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

2024

AgAsk: an agent to help answer farmer's questions from scientific documents.

Bevan Koopman, Ahmed Mourad, Hang Li, Anton van der Vegt, Shengyao Zhuang, Simon Gibson, Yash Dang, David Lawrence, Guido Zuccon

Int. J. Digit. Libr., December, 2024

Soil Organic Carbon Estimation via Remote Sensing and Machine Learning Techniques: Global Topic Modeling and Research Trend Exploration.

Tong Li, Lizhen Cui, Yu Wu, Timothy I. McLaren, Anquan Xia, Rajiv Pandey, Hongdou Liu, Weijin Wang, Zhihong Xu, Xiufang Song, Ram C. Dalal, Yash P. Dang

Remote. Sens., September, 2024

2023

Preliminary Results in Innovative Solutions for Soil Carbon Estimation: Integrating Remote Sensing, Machine Learning, and Proximal Sensing Spectroscopy.

Tong Li, Anquan Xia, Timothy I. McLaren, Rajiv Pandey, Zhihong Xu, Hongdou Liu, Sean Manning, Oli Madgett, Sam Duncan, Peter Rasmussen, Florian Ruhnke, Onur Yüzügüllü, Noura Fajraoui, Deeksha Beniwal, Scott Chapman, Georgios Tsiminis, Chaya Smith, Ram C. Dalal, Yash P. Dang

Remote. Sens., December, 2023

A Study of the Relationships between Depths of Soil Constraints and Remote Sensing Data from Different Stages of the Growing Season.

Fathiyya Ulfa, Thomas G. Orton, Yash P. Dang, Neal W. Menzies

Remote. Sens., July, 2023

2022

Are Climate-Dependent Impacts of Soil Constraints on Crop Growth Evident in Remote-Sensing Data?

Fathiyya Ulfa, Thomas G. Orton, Yash P. Dang, Neal W. Menzies

Remote. Sens., 2022

ConstraintID: An online software tool to assist grain growers in Australia identify areas affected by soil constraints.

Thomas G. Orton, David J. McClymont, Kathryn L. Page, Neal W. Menzies, Yash P. Dang

Comput. Electron. Agric., 2022

2021

Improving Biomass and Grain Yield Prediction of Wheat Genotypes on Sodic Soil Using Integrated High-Resolution Multispectral, Hyperspectral, 3D Point Cloud, and Machine Learning Techniques.

Malini Roy Choudhury, Sumanta Das, Jack Christopher, Armando A. Apan, Scott C. Chapman, Neal W. Menzies, Yash P. Dang

Remote. Sens., 2021

2018

An empirical model for prediction of wheat yield, using time-integrated Landsat NDVI.

YunRu Lai, M. J. Pringle, Peter M. Kopittke, Neal W. Menzies, Thomas G. Orton, Yash P. Dang

Int. J. Appl. Earth Obs. Geoinformation, 2018