The use of satellites to monitor crops and support their management is gathering increasing
attention. The improved temporal, spatial, and spectral resolution of the European Space …

Big Data (BD), Machine Learning (ML) and Internet of Things (IoT) are expected to have a
large impact on Smart Farming and involve the whole supply chain, particularly for rice …

Over the past ten years, plant phenoty** technologies that utilize sensing and data mining
approaches to estimate crop traits in a high-throughput and objective manner, have been …

Acquiring useful data from agricultural areas has always been somewhat of a challenge, as
these are often expansive, remote, and vulnerable to weather events. Despite these …

Precision agriculture is increasingly considered as a powerful solution to mitigate the
environmental impact of farming systems. This is because of its ability to use multi-source …

The present study developed a method to use RapidEye satellite information for N
management in durum wheat cultivation. The estimation of the N status was based on the …

To achieve rapid, accurate, and non-destructive diagnoses of nitrogen deficiency in cold
land japonica rice, hyperspectral data were collected from field experiments to investigate …

The spaceborne imaging spectroscopy mission PRecursore IperSpettrale della Missione
Applicativa (PRISMA), launched on 22 March 2019 by the Italian Space Agency, opens new …

The knowledge of rice nitrogen (N) requirements and uptake capacity are fundamental for
the development of improved N management. This paper presents empirical models for …

Soil properties variability is a factor that greatly influences cereals crops production and
interacts with a proper assessment of crop nutritional status, which is fundamental to support …