The digital transformation of agriculture has evolved various aspects of management into
artificial intelligent systems for the sake of making value from the ever-increasing data …

Agricultural Big Data is a set of technologies that allows responding to the challenges of the
new data era. In conjunction with machine learning, farmers can use data to address …

We use a 4-year panel (2019–2022) of 10,125 village councils in Ukraine to estimate effects
of the war started by Russia on area and expected yield of winter crops aggregated up from …

The data generated in modern agricultural operations are provided by diverse elements,
which allow a better understanding of the dynamic conditions of the crop, soil and climate …

Background: Researchers and marketing specialists study consumer behaviour in the
market because it is an important part of economics. There is a growing trend among …

Agriculture 4.0 offers the potential to revolutionize the agriculture sector through improved
productivity and efficiency. However, adopting Agriculture 4.0 requires a period of transition …

Sustainable agriculture is currently being challenged under climate change scenarios since
extreme environmental processes disrupt and diminish global food production. For example …

Accurate and early crop-type maps are essential for agricultural policy development and
food production assessment at regional and national levels. This study aims to produce a …

The ongoing full-scale Russian invasion of Ukraine has led to widespread damage of
agricultural lands, jeopardizing global food security. Timely detection of impacted fields …

Abandoned cropland may lead to a series of issues regarding the environment, ecology,
and food security. In hilly areas, cropland is prone to be abandoned due to scattered …