Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems

Licheng Liu, Wang Zhou, Kaiyu Guan, +14

Nature Communications

Near-complete loss of fire-resistant primary tropical forest cover in Sumatra and Kalimantan

Tadas Nikonovas, Allan Spessa, Stefan H. Doerr, +2

Communications Earth & Environment

Quantifying carbon budget, crop yields and their responses to environmental variability using the ecosys model for U.S. Midwestern agroecosystems

Wang Zhou, Kaiyu Guan, Bin Peng, +5

Agricultural and Forest Meteorology

Land UseEnvironmental VariabilityAgricultural EconomicsCrop YieldCrop Growth Modeling +4

Exploration of machine learning algorithms for predicting the changes in abundance of antibiotic resistance genes in anaerobic digestion

Nervana Haffiez, Tae Hyun Chung, Basem S. Zakaria, +4

The Science of The Total Environment

Antimicrobial Resistance GeneEngineeringData ScienceMachine Learning AlgorithmsMachine Learning Tool +12

Effects of grazing management on spatio-temporal heterogeneity of soil carbon and greenhouse gas emissions of grasslands and rangelands: Monitoring, assessment and scaling-up

Junye Wang, Yumei Li, Edward W. Bork, +4

Journal of Cleaner Production

EngineeringSoil Carbon CycleTerrestrial EcosystemRangeland ProductivityLand Use +6

Assessing Effects of Agronomic Nitrogen Management on Crop Nitrogen Use and Nitrogen Losses in the Western Canadian Prairies

Symon Mezbahuddin, David Spiess, David Hildebrand, +5

Frontiers in Sustainable Food Systems

Precision AgricultureEngineeringLand UseCrop Nitrogen UseAgricultural Economics +14

ProbFire: a probabilistic fire early warning system for Indonesia

Tadas Nikonovas, Allan Spessa, Stefan H. Doerr, +2

Natural hazards and earth system sciences

EngineeringWarning SystemWeather ForecastingEarth ScienceFire Risk Analysis +15

Non-stationary response of rain-fed spring wheat yield to future climate change in northern latitudes

Pouya Khalili, Budong Qian, Symon Mezbahuddin, +2

The Science of The Total Environment

ClimatologyFuture Climatic ChangeEngineeringNon-stationary ResponseNorthern Latitudes +5

Ensemble machine learning approach for examining critical process parameters and scale-up opportunities of microbial electrochemical systems for hydrogen peroxide production

Tae Hyun Chung, Manjila Shahidi, Symon Mezbahuddin, +1

Chemosphere

Process DesignEngineeringMachine LearningBioenergeticsBioelectrochemical System +10

Accuracy of tropical peat and non-peat fire forecasts enhanced by simulating hydrology

Symon Mezbahuddin, Tadas Nikonovas, Allan Spessa, +4

Scientific Reports