Greg Lyle

Crop yield prediction using machine learning: A systematic literature review

Spatio-temporal and cumulative effects of land use-land cover and climate change on two ecosystem services in the Colombian Andes

Spatial-temporal evolution and classification of marginalization of cultivated land in the process of urbanization

An approach to forecast grain crop yield using multi-layered, multi-farm data sets and machine learning

Yield gap analysis with local to global relevance—A review

A systematic literature review on machine learning applications for sustainable agriculture supply chain performance

Prospects for ecological intensification of Australian agriculture

Precision nitrogen management of wheat. A review

Integration of high resolution remotely sensed data and machine learning techniques for spatial prediction of soil properties and corn yield

Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review

Spatially explicit simulation of land use/land cover changes: Current coverage and future prospects

Quantitative evaluation of China’s cultivated land protection policies based on the PMC-Index model

Prediction of Land Use and Land Cover Changes for North Sumatra, Indonesia, Using an Artificial-Neural-Network-Based Cellular Automaton

Identifying the spatial and temporal variability of economic opportunity costs to promote the adoption of alternative land uses in grain growing agricultural areas: An Australian example

Post-processing methods to eliminate erroneous grain yield measurements: review and directions for future development

Within-field variability of wheat yield and economic implications for spatially variable nutrient management

Simple models for managing complex social–ecological systems: The Landscape Futures Analysis Tool (LFAT)

Testing the Temporal Ability of Landsat Imagery and Precision Agriculture Technology to Provide High Resolution Historical Estimates of Wheat Yield at the Farm Scale