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Junxiang Peng

PhD Student

I am a PhD student focusing on the management of irrigation and fertilization of potato in Denmark. My PhD project is a part of a big project whose name is POTENTIAL from EU. 


Potato is one of the most important crops in Europe, including Denmark. Compared to other crops, potato has shallow rooting depth and high water demand, thus high drought sensitivity. In addition, potatoes often receive high amounts of nitrogen fertilizer which, combined with its shallow root system and irrigation on sandy soils, pose a high risk of nitrogen leaching losses. For insuring the sustainable yields of potatoes with the limited irrigation and fertilization, information on the crop’s condition, as well as spatial soil and water data are needed. However, with the enlargement of fields and intensive mechanization, it has become increasingly difficult to take account for within-field variability without a revolutionary development in technologies. These are being embarked on these years as, apart from direct field measurements, important information can be obtained remotely, via field and satellite-based multispectral sensor systems. In addition, small-unmanned aerial vehicles (SUAVs or drones) carrying multi- or hyperspectral cameras can be used to provide spatially very detailed information on within-field variability at low cost and simple operational level. 


Data from satellite- and drone platforms would be used to calculate irrigation and fertilization time and amounts and compare them with the amounts commonly applied by the farmers. Altogether, with accounted spatio-temporal variability, the results are expected to support agro-environmental and economic benefits by reducing irrigation and fertilization amounts, especially for water-intensive crops such as potato grown on sandy soils. 


1. To collect field measurements related to potato development and growth and soil, water and nitrogen status, under potential and stressed conditions.  

2. To collect remotely sensed data from satellite, calibrate and validate these data using the field-collected measurements.  

3. To establish relationship between satellite and drone data with physiology information of potato plant and relative data of soil (moisture, water content) by means of some statistic methods.  

4. To utilize the validated remote sensing platform for monitoring and managing drought stress and suboptimal fertilization conditions for potato fields in Denmark.