Junxiang Peng

1.      Peng, J., Morel, J., Oliveira1, J., & Parsons, D. (2024). Ley field management using satellite based digital tools. Poster session presented at the European Grassland Federation, Leeuwarden, The Netherlands.

2.      Peng, J., Morel, J., & Parsons, D. (2023). Forage grassland biomass estimation using Sentinel-2 imagery at high latitudes. Poster session presented at the Forage Conference, Uppsala, Sweden.

3.      Peng, J., Manevski, K., Sørensen, K, Larsen, R., & Andersen, M.N. (2019). Potato biomass estimation using ground, UAV, and satellite observations. Poster session presented at the Nordic Remote Sensing Conference, Aarhus, Denmark.

4.      Peng, J., Manevski, K., Sørensen, K, Larsen, R., & Andersen, M.N. (2019).  Estimation of leaf area index by UAV (drone) and Sentinel-2 multispectral imagery. Poster session presented at EGU General Assembly 2019, Vienna, Austria.

1.      A feasibility study of drone based identification and spot herbicide treatment of blackgrass in cereal fields (2025-2027, Swedish Board of Agriculture, ongoing Project leader)

2.      Vallsat: Satellite-based digital tools for ley management (2023-2025, The Swedish Farmers’ Foundation for Agricultural Research, ongoing, Project leader)

3.      Monitoring forage fields in Northern Sweden with satellite imagery (2022-2024, Regional Agricultural Research for Northern Sweden, ongoing, Project leader)

4.      Variable rate irrigation and nitrogen fertilization in Potato; engage the spatial variation (2017-2019, EU WaterWorks2015 joint call, finished, Participating member)

1.      Peng, J., Jahangirlou, M. R., Morel, J., Zhou, Z., & Parsons, D. (2024). Estimation of botanical composition of forage crops using laboratory-based hyperspectral imaging and near-infrared spectrometer measurements. Journal of Agriculture and Food Research, 18, 101319.

2.      Peng, J., Zeiner, N., Parsons, D., Féret, J. B., Söderström, M., & Morel, J. (2023). Forage Biomass Estimation Using Sentinel-2 Imagery at High Latitudes. Remote Sensing, 15(9), 2350. 

3.      Peng, J., Nieto, H., Neumann Andersen, M., Kørup, K., Larsen, R., Morel, J., Parsons, D., Zhou, Z., & Manevski, K. (2023). Accurate estimates of land surface energy fluxes and irrigation requirements from UAV-based thermal and multispectral sensors. ISPRS Journal of Photogrammetry and Remote Sensing, 198, 238-254

4.      Sun, S., Zuo, Z., Yue, W., Morel, J., Parsons, D., Liu, J., Peng, J., Cen, H., He, Y., Shi, J., Li, X., & Zhou, Z. (2022). Estimation of biomass and nutritive value of grass and clover mixtures by analyzing spectral and crop height data using chemometric methods. Computers and Electronics in Agriculture, 192, 106571.

5.      Wang, Z., Shi, J., Sun, S., Zhu, L., He, Y., Jin, R., Luo, L., Zhao, L., Peng, J., & Zhou, Z. (2022). Estimation of Dry Matter and N Nutrient Status of Choy Sum by Analyzing Canopy Images and Plant Height Information. Remote Sensing, 14, 3964.

6.      Peng, J., Manevski, K., Kørup, K., Larsen, R., Zhou, Z., & Andersen, M.N. (2021). Environmental constraints to net primary productivity at northern latitudes: A study across scales of radiation interception and biomass production of potato. International Journal of Applied Earth Observation and Geoinformation, 94, 102232.

7.      Peng, J., Manevski, K., Kørup, K., Larsen, R., & Andersen, M.N. (2021). Random forest regression results in accurate assessment of potato nitrogen status based on multispectral data from different platforms and the critical concentration approach. Field Crops Research, 268, 108158.

8.      Peng, J., (2021). Managing and optimizing fertilization and irrigation of potato by remote sensing from small unmanned air vehicles and Sentinel-2. PhD Thesis, Aarhus University Denmark.

9.      Deng, J, Chen, F, Liu, X, Peng, J, Hu, W. Horizontal migration of algal patches associated with cyanobacterial blooms in an eutrophic shallow lake. Ecological Engineering, 2016, 87, 185–193. 

https://www.researchgate.net/profile/Junxiang-Peng