Image and video tools for analyzing crop scenes and plants are essential for applying
precision agriculture to crop maintenance, harvesting, or pruning. In this paper, we are …

Isolation toughness is a vital parameter to evaluate the vulnerability of computer networks. In
specific network designing stage, it is necessary to find the lower bound of the isolated …

Developing computer vision systems for agricultural tasks that work in real-world conditions
and in real time is challenging, especially if they need to be deployed on embedded …

Agrifood system actors operate within diverse sociocultural, economic, and biophysical
settings. For growers, crop planning, usually a yearly business plan, is a key decision to …

Advances in remote-sensing, sensor and robotic technology, machine learning, and artificial
intelligence (AI)–smart algorithms that learn from patterns in complex data or big data-are …

Automatic identification of function clones on cross‐platform aims at determining whether
two functions are identical or not without access to the source code, which is a fundamental …

Recent advances in machine learning and computer vision promoted a surge in the
development of AI-based approaches aimed at improving various agricultural tasks. In this …

Abstract Background and Aims The shortage of skilled pruners portends automation as an
alternative. To train an Artificial Intelligence (AI) system in cane pruning, the attributes of …

Mobile manipulators that combine manipulability and mobility, are increasingly being used
for various unstructured application scenarios in the field, eg vineyards. Therefore …

In view of the current situation that the college English skill training system has not yet
realised the scoring of subjective questions, the proposed system adopts the deep neural …