A Vis‐NIR Spectral Library to Predict Clay in Australian Cotton Growing Soil D Zhao, X Zhao, T Khongnawang, M Arshad, J Triantafilis Soil Science Society of America Journal 82 (6), 1347-1357, 2018 | 65 | 2018 |
Identifying potential leakage zones in an irrigation supply channel by mapping soil properties using electromagnetic induction, inversion modelling and a support vector machine E Zare, N Li, T Khongnawang, M Farzamian, J Triantafilis Soil Systems 4 (2), 25, 2020 | 23 | 2020 |
Digital soil mapping of soil salinity using EM38 and quasi‐3‐d modelling software (EM4Soil) T Khongnawang, E Zare, P Srihabun, I Khunthong, J Triantafilis Soil Use and Management, 2021 | 19 | 2021 |
Three-dimensional mapping of clay and cation exchange capacity of sandy and infertile soil using EM38 and inversion software T Khongnawang, E Zare, D Zhao, P Srihabun, J Triantafilis Sensors 19 (18), 3936, 2019 | 18 | 2019 |
Comparing electromagnetic induction instruments to map soil salinity in two-dimensional cross-sections along the Kham-rean Canal using EM inversion software T Khongnawang, E Zare, P Srihabun, J Triantafilis Geoderma 377, 114611, 2020 | 16 | 2020 |
A systematic evaluation of multisensor data and multivariate prediction methods for digitally mapping exchangeable cations: A case study in Australian sugarcane field M Arshad, D Zhao, T Khongnawang, J Triantafilis Geoderma Regional 25, e00400, 2021 | 5 | 2021 |
Land suitability evaluation using GIS-based multi-criteria decision making for bio-fuel crops cultivation in KhonKaen, Thailand T Khongnawang, M Williams | 3 | 2015 |
Digital soil mapping using proximal and remote sensed geophysical data at field, farm and district levels in Thailand T Khongnawang UNSW Sydney, 2021 | | 2021 |
Geoderma Regional M Arshad, D Zhao, T Khongnawang, J Triantafilis | | 2021 |
A vis-NIR spectral library to predict clay in Australian cotton growing soil. ZDX Zhao DongXue, ZXY Zhao XueYu, T Khongnawang, M Arshad, ... | | 2018 |