Big data represent a pioneering development in the field of agriculture. By producing
intuition, intelligence, and insights, these data have the potential to recast conventional …

The challenge of sustainability and the need to secure the production of high-quality,
affordable and healthy food, have led to the emergence of alternative food …

Voluminous and variety of disparate information is generated and consumed in agriculture
domain at a higher velocity. In agriculture, information is available in the form of weather and …

The purpose of the article is to generalize and present the peculiarities of the process of
forming a system of information support for the management of agricultural enterprises in …

In this paper, we present the development of a low-cost distributed computing pipeline for
cotton plant phenotyping using Raspberry Pi, Hadoop, and deep learning. Specifically, we …

Smart Farming represents a new approach based on management of observation,
measurement and response to internal and external variations in crops. This approach is …

Data is growing exponentially due to the World Wide Web and scientific enhancements,
requires proper strategies and techniques to deal with it. Thus, it requires increasing the …

One of the significant data mining techniques is clustering. Due to digitalization and
globalization of each work space, large datasets are being generated rapidly. Such large …

The main goal of the research work is to solve a wide range of data problems by offering
batch, iterative, and interactive computations in a unified architecture. The dissertation …

The goal of the scientific research big data service platform for experimental data managing
is to solve the problem of data silos in the state-owned scientific research management …