As a broadly-trained agroecologist, my research leverages domain knowledge, satellite data, computational models, and machine learning approaches to address agricultural and environmental sustainability. I strongly believe data analytics is becoming a new frontier in agriculture, thus my major research focuses are:
Mapping agriculture features using high-resolution satellite imagery
Forecasting crop yields for a range of applications
Integrating crop models with remote sensing for precision nitrogen management
Understanding the impacts of climate change on agroecosystem
Zhu P, Jin Z-N, Zhuang Q, Ciais P, Bernacchi C, Wang X, Makowski D, Lobell DB (2018) The important but weakening maize yield benefit of grain filling prolongation in the US Midwest. Global Change Biology. doi.org/10.1111/gcb.14356
Jin Z-N, Ainsworth, E, Leakey ADB, Lobell DB (2018) Increasing drought and diminishing benefits of elevated carbon dioxide for soybean yields across the US Midwest. Global Change Biology, 24, e522-e533.
Jin Z-N, Azzari G, Marshall B, Aton S, Lobell DB (2017) Mapping and explaining smallholder yield heterogeneity in Eastern Africa. Remote Sensing, 9, 931; doi:10.3390/rs9090931.
Jin Z-N, Azzari G, Lobell DB (2017) Improving the accuracy of satellite-based high-resolution yield estimation: a test of multiple scalable approaches. Agricultural & Forest Meteorology, 247, 207-220.
Jin Z-N, Zhuang Q, Wang J, Archontoulis SV, Zobel Z, Kotamarthi VR (2017) The combined and separate impacts of climate extremes on the current and future US rainfed maize and soybean production under elevated CO2. Global Change Biology, 23, 2687-2704.
Jin Z-N, Prasad R, Shriver J, Zhuang Q (2017) Crop model and satellite imagery based recommendation tool of variable rate N fertilizer application for the US Corn system. Precision Agriculture, 18, 779-800.
Jin Z-N, Zhuang Q, Tan Z, Dukes JS, Bangyou Zheng, Jerry M. Melillo (2016) Do maize models capture the impacts of heat and drought stresses on yield? Using algorithm ensembles to identify successful approaches. Global Change Biology, 22, 3112-3126.
Jin Z-N, Zhuang Q, Dukes JS, Chen M, Sokolov A, He J-S, Zhang T, Luo T (2016) Temporal variability in the thermal requirements for vegetation phenology on the Tibetan plateau and its implications for carbon dynamics. Climatic Change, 138, 617-632.
Jin Z-N, Zhuang Q, He J-S, Zhu X, Song W (2015) Net exchanges of methane and carbon dioxide on the Qinghai-Tibetan Plateau from 1979 to 2100. Environmental Research Letters, 10(8), 085007.
Jin Z-N, Zhuang Q, He J-S, Luo T, Shi Y (2013) Phenology shift from 1989 to 2008 on the Tibetan Plateau: An analysis with a process-based soil physical model and remote sensing data. Climatic Change, 119, 435-449.