With increasing population, the demand for agricultural productivity is rising to meet the goal
of “Zero Hunger”. Consequently, farmers have optimized the agricultural activities in a …

Global Navigation Satellite Systems (GNSS) in precision agriculture (PA) represent a
cornerstone for field mapping, machinery guidance, and variable rate technology. However …

Annual cane pruning of grape vineyards is a time-consuming and labor-intensive job, but no
mechanized or automatic way has been developed to do it yet. Robotic pruning can be a …

Convolutional neural networks trained using manually generated labels are commonly used
for semantic or instance segmentation. In precision agriculture, automated flower detection …

In recent years, the fruit industry has become an important part of agricultural development,
and fruit harvesting is a key stage in the production process. However, picking fruits during …

Apple preferences of US consumers are widely explored. However, the key factors that drive
the importance that US consumers place on apple attributes are rather unexplored. To fill …

This paper proposes and executes an in-depth learning-based image processing approach
for self-picking apples. The system includes a lightweight one-step detection network for fruit …

Annual cane pruning of grape vineyards is a time-consuming and labor-intensive job, but no
mechanized or automatic way has been developed to do it yet. Robotic pruning can be a …

To meet the global food demand amidst the growing population, there 'sa critical need to
augment productivity in the specialty crop industry. However, workforce shortage in …

This dissertation addresses three limitations of deep learning methods in image and video
understanding-based machine vision applications. Firstly, although deep convolutional …