AIMS & SCOPE

The motivation behind this Agriculture Special Issue is to bring “Big Data Solutions for Agriculture” to identify the key challenges that are faced by big data analysts trying to solve problems for agriculture communities, discuss potential solutions, and identify the opportunities emerging from cross-domain interactions among agriculture experts, hydrologists, dairy experts, aquaculture experts, and big data analytics experts. Therefore, we expect to gain from the domain experts an explanation of how they can apply big data analytics, semantic web standards, machine learning techniques, and linked data standards into their scientific research via high impact publications in this journal The journal publishes original papers, reviews, applications notes and book reviews on topics of interest include, but are not limited to:

  • All aspects of big data platform technology
  • Architecture for big data innovation
  • Big data and cloud computing innovations in agriculture
  • Data driven smart farming
  • Environmental big data integration;
  • Internet of things in agriculture
  • Big data in agricultural disaster management;
  • Decision support system for crop health monitoring;
  • Agricultural systems modelling
  • Precision agriculture technologies
  • Agricultural automation
  • Soil and water management
  • Variable rate applicators
  • GPS and GIS involvement in agriculture
  • Management of spatial and temporal variability
  • Technological developments in the field of multispectral, hyperspectral and thermal imaging
  • Use of remote sensing data for defining management zones
  • Use of remote sensing data for calibrating or improving crop models
  • Use of remote sensing data for disease/pest detection and management
  • Fusion of remote sensing data with other data streams
  • Water footprint analysis
  • Water productivity analysis and water allocations
  • Groundwater management for agricultural use