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

This paper surveys the supportive technologies currently available for ground mobile robots
used for autonomous mapping in agriculture. Unlike previous reviews, we describe state-of …

We present a vision system that automatically predicts yield in vineyards accurately and with
high resolution. Yield estimation traditionally requires tedious hand measurement, which is …

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 …

Yield prediction is a key factor to optimize vineyard management and achieve the desired
grape quality. Classical yield estimation methods, which consist of manual sampling within …

Grapevine yield is defined as the quantity of harvest, expressed as either grape mass or
wine volumeunits, which has been collected per surface unit are and per crop cycle. The …

Due to its perennial nature and size, the acquisition of phenotypic data in grapevine
research is almost exclusively restricted to the field and done by visual estimation. This kind …

The wine industry needs to know the yield of each vine field precisely to optimize quality
management and limit the costs of harvest operations. Yield estimation is usually based on …

Vine vigour assessment has been a major concern of precision viticulture studies in order to
identify areas of uniform vine performance within vineyards. Moreover, the counting and …

This paper proposes a methodology to improve grape yield sampling and yield estimation of
the current season by using historical yield data. This approach is based on the conjoint use …