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.

You can access and play with the graphs:

Discover all records
Home page


Nutrient Expert assisted site-specific-nutrient-management: An alternative precision fertilization technology for maize-wheat cropping system in South-Asian Indo-Gangetic Plains


Site-specific-nutrient-management (SSNM)-nutrient expert (NE) is the recently developed precision nutrient management technology guided by decision-support system software for improving crop yields, environmental-quality and overall agricultural sustainability specifically in South-Asian Indo-Gangetic Plains Region (IGPR). SSNM-NE in maize-wheat cropping system (MWCS) assumes a great-significance to restore soil-fertility and enhance farm nutrient-use efficiency with minimal deleterious effects on environment. Therefore, an attempt was made to develop and standardize SSNM-NE technology in MWCS. Results indicated that system-productivity in terms of wheat-equivalent yield (WEY) with SSNM-NE + FYM @ 5 tonnes/ha (9.60 Mg/ha) and with 125% recommended NPK (RDF) (9.33 Mg/ha) was similar to 38.8; 12.3% and 36.8; 9.8% higher over control and 100%RDF (2 years' av.), respectively. Among nutrient-management schedules, SSNM-NE + FYM registered highest available N, K and soil organic carbon (SOC) in 0-15 cm soil-depth which was closely followed by 125%RDF and SSNM treatments while plots under 125%RDF registered significantly highest available P over other treatments. SSNM-NE alongwith FYM led to highest soil microbial biomass carbon (SMBC) and dehydrogenase-activity which was 9.25 and 11.6% higher over 125%RDF. However, non-significant variation was observed in bulk density at both soil-depths (0-15; 15-30 cm). SSNM-NE + FYM experienced highest root-length density and root-surface area (RSA) in both crops followed by 125%RDF. SSNM-NE + FYM and SSNM-NE treatments exhibited significantly higher agronomic efficiency of applied-N and P over rest of the treatments in both crops. Overall, SSNM-NE in combination with FYM led to significant improvement in soil physico-chemical and microbial properties as well as nutrient use-efficiencies; which assume paramount importance for long-term soil productivity that may translate into sustained MWCS productivity in South-Asian IGPR. Besides, this SSNM-NE decision_support system software is easy to handle and operationalizable by the field extension functionaries, progressive farmers and through custom hiring services to illiterate and resource poor farming clientele at village level in developing world.

  • IN
  • ICAR_Indian_Council_Agr_Res (IN)
Data keywords
  • rdf
Agriculture keywords
  • crop system
  • agriculture
  • farming
  • farm
Data topic
  • information systems
  • decision support
Document type

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

Institutions 10 co-publis
  • ICAR_Indian_Council_Agr_Res (IN)
Powered by Lodex 8.20.3
logo commission europeenne
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.