Agriculture provides humanity with food, fibers, fuel, and raw materials that are paramount
for human livelihood. Today, this role must be satisfied within a context of environmental …

Plant diseases and pests endanger agriculture and forestry significantly around the world.
The implementation of non-contact, highly-efficient, and affordable methods for detecting …

Climate change has introduced significant challenges that can affect multiple sectors,
including the agricultural one. In particular, according to the Food and Agriculture …

In recent years, vector-based machine learning algorithms, such as random forests, support
vector machines, and 1-D convolutional neural networks, have shown promising results in …

The application of Artificial Intelligence (AI) has been evident in the agricultural sector
recently. The sector faces numerous challenges in order to maximize its yield including …

Wheat is the most important staple crop grown in Australia, and Australia is one of the top
wheat exporting countries globally. Timely and reliable wheat yield prediction in Australia is …

Accurate crop type mapping provides numerous benefits for a deeper understanding of food
systems and yield prediction. Ever-increasing big data, easy access to high-resolution …

Timely and non-destructive assessment of crop yield is an essential part of agricultural
remote sensing (RS). The development of unmanned aerial vehicles (UAVs) has provided a …

遥感技术具有覆盖面积大, 重访周期短, 获取成本相对低等优势, 对大面积露天农业生产的调查,
评价, 监测和管理具有独特的作用. 从20 世纪70 年代出现民用资源卫星后 …

Big data with its vast volume and complexity is increasingly concerned, developed and used
for all professions and trades. Remote sensing, as one of the sources for big data, is …