With increasing population, the demand for agricultural productivity is rising to meet the goal
of “Zero Hunger”. Consequently, farmers have optimized the agricultural activities in a …

Modern agricultural technology management is nowadays crucial in terms of the economy
and the global market, while food safety, quality control, and environmentally friendly …

Academic and industrial research in Internet of Things (IoT) has increased over the past
several years. The Internet of Things aims to connect physical objects (Things) to the Internet …

The advent of the Internet of Things (IoT) inspired various new and enhanced sets of
applications in multiple domains including agriculture. The recent drive in the adoption of IoT …

This paper provides a review of research on the application of data mining techniques for
decision making in agriculture. The paper reports the application of a number of data mining …

Classification algorithms are the most commonly used data mining models that are widely
used to extract valuable knowledge from huge amounts of data. The criteria used to evaluate …

Data mining is the process of identifying the hidden patterns from large and complex data. It
may provide crucial role in decision making for complex agricultural problems. Data …

Environmental processes are highly complex and their understanding involves the analysis
of various quantitative and qualitative parameters (physical, chemical, geographical etc) …

Precision Agriculture is equipped with the latest generation GPS technology in relation to
crop treatment based on its site-specific sensors. It can be termed as a data-driven method …

The process of developing knowledge from the use of large data sets as an input and
extracting useful information as an output is referred to as data mining. This acquired …