Computer graphics has dedicated a considerable amount of effort to generating realistic
models of trees and plants. Many existing methods leverage procedural modeling …

Plants are among the most complex objects to be modeled in computer graphics. While a
large body of work is concerned with structural modeling and the dynamic reaction to …

We present a specialized procedural model for generating synthetic agricultural scenes
focusing on soybean crops along with various weeds. The model simulates distinct growth …

Epigraphy is witnessing a growing integration of artificial intelligence, notably through its
subfield of machine learning (ML), especially in tasks like extracting insights from ancient …

Artificial neural networks are often used to identify features of crop plants. However, training
their models requires many annotated images, which can be expensive and time-consuming …

We introduce LAESI, a Synthetic Leaf Dataset of 100,000 synthetic leaf images on millimeter
paper, each with semantic masks and surface area labels. This dataset provides a resource …

Robotic harvesting has the potential to positively impact agricultural productivity, reduce
costs, improve food quality, enhance sustainability, and to address labor shortage. In the …