It is important to continuously monitor the long-term impact of viticultural management
practices and assess opportunities for improving the environmental footprint of vineyard …

During the last decades, researchers have developed novel computing methods to help
viticulturists solve their problems, primarily those linked to yield estimation of their crops …

Weeds are harmful to crop yield. The segmentation of weeds in images is of great
significance for precise weeding and reducing herbicide pollution. However, in the field …

Accurate fruit counting helps grape wine industry make better logistics and decisions before
harvest, and therefore produce higher quality wine. In view of poor real-time performance of …

Landsat imagery is an unparalleled freely available data source that allows reconstructing
land-cover and land-use change, including urban form. This paper addresses the challenge …

Several variables, including a rising human population, varying weather patterns in the
context of ongoing climate change, and the rapid worldwide spread of epidemics, all …

In traditional arable crop fields, tractors treat the whole field uniformly applying large
quantities of herbicides and pesticides for weed control and plant protection. Autonomous …

As one of the representative algorithms of deep learning, a convolutional neural network
(CNN) with the advantage of local perception and parameter sharing has been rapidly …

Accurate counting of cereals crops, eg, maize, rice, sorghum, and wheat, is crucial for
estimating grain production and ensuring food security. However, existing methods for …

Detection, segmentation and tracking of fruits and vegetables are three fundamental tasks
for precision agriculture, enabling robotic harvesting and yield estimation applications …