Yulin Zhao, Junke Li, Kai Liu
The sustainable development of mathematics subject: An empirical analysis based on the academic attention and literature research
Heliyon
escayard dataset comprises multimodal data collected vineyards support agricultural research specifically focusing vine health productivity data collection involved two primary methods 1 unmanned aerial vehicle uav capturing multispectral images 3d point clouds 2 smartphones detailed groundlevel photography uav used dji matrice 210 v2 rtk equipped micasense altum sensor flying 30 ground level ensure detailed coverage groundlevel data collected using smartphones iphone x xiaomi poco x3 pro provided highresolution images individual plants images geotagged enabling location mapping included data phytosanitary status number grape clusters per plant additionally dataset contains rtk gnss data offering highprecision location information vine enhancing datasets value spatial analysis moreover dataset structured support various research applications including agronomy remote sensing machine learning particularly suited studying disease detection yield estimation vineyard management strategies highresolution multispectral nature data allows detailed analysis vineyard conditions potential reuse dataset spans multiple disciplines enabling studies environmental monitoring geographic information systems gis precision agriculture comprehensive nature makes valuable resource developing testing algorithms disease classification yield prediction plant phenotyping instance images bunches grape leaves used train object detection algorithms accurate disease detection consequent precise spraying moreover yield prediction algorithms trained extracting phenotypic traits grape bunches escayard dataset provides foundation advancing research sustainable farming practices optimising crop health improving productivity precise agricultural technologies