DeepAI
Log In Sign Up

Data Warehouse and Decision Support on Integrated Crop Big Data

03/10/2020
by   V. M. Ngo, et al.
0

In recent years, precision agriculture is becoming very popular. The introduction of modern information and communication technologies for collecting and processing Agricultural data revolutionise the agriculture practises. This has started a while ago (early 20th century) and it is driven by the low cost of collecting data about everything; from information on fields such as seed, soil, fertiliser, pest, to weather data, drones and satellites images. Specially, the agricultural data mining today is considered as Big Data application in terms of volume, variety, velocity and veracity. Hence it leads to challenges in processing vast amounts of complex and diverse information to extract useful knowledge for the farmer, agronomist, and other businesses. It is a key foundation to establishing a crop intelligence platform, which will enable efficient resource management and high quality agronomy decision making and recommendations. In this paper, we designed and implemented a continental level agricultural data warehouse (ADW). ADW is characterised by its (1) flexible schema; (2) data integration from real agricultural multi datasets; (3) data science and business intelligent support; (4) high performance; (5) high storage; (6) security; (7) governance and monitoring; (8) consistency, availability and partition tolerant; (9) cloud compatibility. We also evaluate the performance of ADW and present some complex queries to extract and return necessary knowledge about crop management.

READ FULL TEXT
05/29/2019

Designing and Implementing Data Warehouse for Agricultural Big Data

In recent years, precision agriculture that uses modern information and ...
06/26/2018

An Efficient Data Warehouse for Crop Yield Prediction

Nowadays, precision agriculture combined with modern information and com...
04/17/2019

School management information systems: Challenges to educational decision-making in the big data era

Despite the benefits of school management information systems (SMIS), th...
03/11/2020

Crop Knowledge Discovery Based on Agricultural Big Data Integration

Nowadays, the agricultural data can be generated through various sources...
06/15/2018

A Big-Data based and process-oriented decision support system for traffic management

Data analysis and monitoring of road networks in terms of reliability an...
07/15/2022

Knowledge Representation in Digital Agriculture: A Step Towards Standardised Model

In recent years, data science has evolved significantly. Data analysis a...