A big data smart agricultural system: recommending optimum fertilisers for crops

Abstract

Nutrients are important to promote plant growth and nutrient deficiency is the primary factor limiting crop production. However, excess fertilisers can also have a negative impact on crop quality and yield, cause an increase in pollution and decrease producer profit. Hence, determining the suitable quantities of fertiliser for every crop is very useful. Currently, the agricultural systems with internet of things make very large data volumes. Exploiting agricultural Big Data will help to extract valuable information. However, designing and implementing a large scale agricultural data warehouse are very challenging. The data warehouse is a key module to build a smart crop system to make proficient agronomy recommendations. In our paper, an electronic agricultural record (EAR) is proposed to integrate many separate datasets into a unified dataset. Then, to store and manage the agricultural Big Data, we built an agricultural data warehouse based on Hive and Elasticsearch. Finally, we applied some statistical methods based on our data warehouse to extract fertiliser information such as a case study. These statistical methods propose the recommended quantities of fertiliser components across a wide range of environmental and crop management conditions, such as nitrogen (N), phosphorus (P) and potassium (K) for the top ten most popular crops in EU.

Mathematical modeling in the agro-industrial complex: basic problems and models construction

“…It is obvious that the development of a list of typical mathematical modeling tasks will contribute a lot to the introduction of advanced calculation methods both by classical methods and using Big Data technologies. [15]…”

Design and Application of Legal Information Systems Based on Big Data Technology

“…The current big data processing technology system is not yet mature and perfect. Due to the complexity, diversity, and huge data scale of big data, there are still many technical problems that need to be continuously researched and improved in the existing big data processing technologies and system platforms, including: distributed storage management technologies and systems for Platform, other platforms, efficient algorithm design, and easy-to-use tools (Ngo et al, 2023). For such informatization today, importance of informatization for the legal domain has become more and more prominent (Duggineni, 2023).…”