Citation Impact
Citing Papers
Nano-enabled pesticides for sustainable agriculture and global food security
2022 Standout
Machine learning in agriculture domain: A state-of-art survey
2021 Standout
Crop yield prediction using machine learning: A systematic literature review
2020 Standout
A Systematic Review of Research on the Use of Artificial Intelligence in English Language Teaching and Learning (2015-2021): What are the Current Effects?
2022 Standout
Metaverse-Powered Experiential Situational English-Teaching Design: An Emotion-Based Analysis Method
2022 Standout
Advancement of Remote Sensing for Soil Measurements and Applications: A Comprehensive Review
2023
Improving the prediction accuracy of soil nutrient classification by optimizing extreme learning machine parameters
2019
Combining Optical, Fluorescence, Thermal Satellite, and Environmental Data to Predict County-Level Maize Yield in China Using Machine Learning Approaches
2019
Exploring the multiple land degradation pathways across the planet
2021
Machine Learning Applications for Precision Agriculture: A Comprehensive Review
2020
An English Network Teaching Method Supported by Artificial Intelligence Technology and WBIETS System
2021
Automatic prediction of village-wise soil fertility for several nutrients in India using a wide range of regression methods
2018
A systematic literature review on machine learning applications for sustainable agriculture supply chain performance
2020 Standout
Advanced Modelling of Soil Organic Carbon Content in Coal Mining Areas Using Integrated Spectral Analysis: A Dengcao Coal Mine Case Study
2024 Standout
Drivers and impacts of changes in China’s drylands
2021 Standout
The Effect of Land Use and Land Cover Changes on Flood Occurrence in Teunom Watershed, Aceh Jaya
2022 Standout
Emergent constraint on crop yield response to warmer temperature from field experiments
2020
Research on the improvement of teachers’ teaching ability based on machine learning and digital twin technology
2020
Works of Cathy Waters being referenced
High resolution mapping of soil organic carbon stocks using remote sensing variables in the semi-arid rangelands of eastern Australia
2018
Incorporating machine learning with biophysical model can improve the evaluation of climate extremes impacts on wheat yield in south-eastern Australia
2019
Propagation of climate model biases to biophysical modelling can complicate assessments of climate change impact in agricultural systems
2018
Minimising soil organic carbon erosion by wind is critical for land degradation neutrality
2018
Dynamic wheat yield forecasts are improved by a hybrid approach using a biophysical model and machine learning technique
2020
Estimating soil organic carbon stocks using different modelling techniques in the semi-arid rangelands of eastern Australia
2018
Frequent inundation helps counteract land use impacts on wetland propagule banks
2016