Multispectral technology has a wide range of applications in agriculture. By obtaining
spectral information during crop production, key information such as growth, pests and …

The fungus Botrytis cinerea causes severe diseases in many crops. In grapevines, it causes
Botrytis bunch rot (BBR), one of the most reported diseases worldwide. It affects all …

This study explores the potential of Precision Agriculture (PA) and Smart Farming (SF) using
cutting-edge technologies like Artificial Intelligence (AI), the Internet of Things (IoT), and …

Effective monitoring of arid and semi-arid rangelands around the world is essential to
understand and combat degradation caused by anthropogenic use and facilitate effective …

Durum wheat (Triticum durum Desf.) is one of the most widely cultivated cereal species in
the Mediterranean basin, supporting pasta, bread and other typical food productions …

Remote sensing and machine learning are widely used to estimate crop yield. The use of
these technologies for yield estimation of bulbous vegetables is challenging because the …

Satellite crop detection technologies are focused on the detection of different types of crops
in fields. The information of crop-type area is more useful for food security than the earlier …

Precision agriculture (PA) is a farming management concept that aims to provide agronomic,
economic, and environmental benefits. One of the fields of research in PA is the delineation …

Soil-sample collection and strategy are costly and time-consuming endeavors, mainly when
the goal is in-field variation mapping that usually requires dense sampling. This study …

In the context of increasing global population and climate change, modern agriculture must
enhance production efficiency. Vegetables production is crucial for human nutrition and has …