Automated detection of downy mildew in vineyards using explainable deep learning
Traditional methods for identifying downy mildew in commercial vineyards are often labour-intensive, subjective, and time-consuming.
Flash oral – Digitization, mechanization and robotics
Evaluating the suitability of hyper- and multispectral imaging to detect endogenic diseases in grapevine
Endogenic diseases often arise from pathogens that exist within the plant tissue, including fungi, bacteria, and viruses, which can remain latent and then emerge under stress conditions or favorable environmental conditions, causing symptoms that weaken vines or can lead to plant death.
Intra-vineyard spatial variability explored over multiple seasons by sensor-based techniques in the Valpolicella area
The identification and management of intra-vineyard variability are key to precision viticulture, and sensors have been proven to be highly efficient tools for detecting these variations.