This study investigates the transformative impact of adaptive Artificial Intelligence (AI) on
precision agriculture, focusing on optimizing farm operations through real-time data …

Smart farming practices offer decision-making support as farmers navigate economic, social,
and environmental challenges. However, smart farming adoption remains low in many …

As the global population grows, achieving Zero Hunger by 2030 presents a significant
challenge. Vertical farming technology offers a potential solution, making the path planning …

Agricultural data have great potential to improve decision-making, enhance operational
efficiency, and drive innovation. Despite the growing acknowledgment of their value, there …

Deforestation linked to agricultural activities is a major sustainability concern. Planning
towards sustainable agricultural landscapes in the (sub-) tropics requires indicators that …

The literature on the research–practice gap in agriculture has evolved significantly in recent
decades. Although there is a well-established body of work on how farmers adopt …

This study examines the impact of sensor placement and multimodal sensor fusion on the
performance of a Long Short-Term Memory (LSTM)-based model for human activity …

In this chapter, we showed how the current generation of Earth observation systems can
contribute to the characterization of agricultural systems locally and regionally, through …

Livestock agriculture must change to meet demand for food production while building soil,
reducing flooding, retaining nutrients, enhancing biodiversity, and supporting thriving …

Drone integration in sustainable agriculture has emerged as a transformative technological
advancement, enabling farmers to achieve accurate crop health monitoring, soil analysis …