e-infrastructure Roadmap for Open Science in Agriculture

A bibliometric study

The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.

This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.

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Evaluation of Different Active and Passive Sensor Systems to Adapt N Fertilizer Applications in Broccoli (Brassica oleracea convar. botrytis var. italica)


Horticultural cropping systems are well suited to site-specific sensor techniques and information management systems. Technological developments in electronics and sensors in precision farming create the possibilities for a more precise production system that takes into account the natural variability of biological production and its environmental influences. The aim of this study was to test different active and passive sensor technologies to monitor nitrogen (N) status in broccoli leaves and to derive suitable N fertilization strategies based on sensor measurements. A field study was conducted with two different common broccoli cultivars 'Parthenon' and 'Marathon' and six different N fertilization treatments consisting of 0, 76, 152, 200, 248, and 304 kg N ha(-1). Space timing of N application was set to the start of cultivation at setting and after a four-week growing period. Sensor measurements started three weeks after setting and were carried out once a week until final harvest of broccoli heads. Sensor technologies used included the passive sensors SPAD-Meter (Minolta), N-Tester (Yara), digital imager (Leica) and one active sensor. The investigation of the spectra from 380 to 1300 nm indicated that wavelength bands around 500-600 nm seem to be well suited for the identification of N status in broccoli plants. Further, the results indicated that sensor technologies make it possible to monitor and control the N demand in broccoli plants and to adapt N fertilizer requirements during the growing season. By detailing this data to small areas within a field, through the application of spatial data, the data can be transformed into powerful management tools. This will enable growers to target their production and fertilizer input to soil variability, to market and quality related issues, and to deliver broccoli with optimal quality attributes.

  • DE
  • Univ_Hohenheim (DE)
Data keywords
  • information management
Agriculture keywords
  • crop system
  • farming
Data topic
  • sensors
Document type

Inappropriate format for Document type, expected simple value but got array, please use list format

Institutions 10 co-publis
  • Univ_Hohenheim (DE)
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e-ROSA - e-infrastructure Roadmap for Open Science in Agriculture has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730988.
Disclaimer: The sole responsibility of the material published in this website lies with the authors. The European Union is not responsible for any use that may be made of the information contained therein.