Agriculture 4.0 technologies like the internet of things, machine learning, unmanned aerial
vehicles, big data analytics, robotics, and artificial intelligence can benefit all stages and …

Guaranteeing food security from agriculture in an uncertain context, derived from the effects
of multiple factors, is a challenge. Traditional agricultural production is the one that faces the …

Brazil supplies half of the world's exported soybeans. Forecasting its national soybean yield
before harvest could help mitigate disruptions in food supply. The objective of this study is to …

The atmospheric water is ubiquitous and abundant, which can be effectively exploited for
various applications. However, limited efforts are devoted to agriculture due to the slowly …

Autonomous machines have the potential to maintain food production and agroecological
farming resilience. However, autonomous complex mixed cropping is proving to be an …

The process of crop type mapping generates land use maps, which serve as critical tools for
efficient evaluation of production factors and impacts of agricultural practice. Yet, despite the …

This paper delineates the contemporary landscape, challenges, and prospective
developments in human-centred artificial intelligence (AI) within the ambit of smart farming, a …

The decreasing rural population and migration to urban areas for high-tech opportunities
have weakened the agricultural labor force. While data technology has been adopted in …

Agritech uses advanced technologies to boost the efficiency, sustainability, and productivity
of farming. The Internet of Things (IoT) in agriculture has brought sensors and networked …

Drone remote sensing has been increasingly demonstrated its unique advantage of
monitoring vegetation and agricultural systems, yet the degree to which the effectiveness of …