Self-adaptive systems: A systematic literature review across categories and domains
Context: Championed by IBM's vision of autonomic computing paper in 2003, the autonomic
computing research field has seen increased research activity over the last 20 years …
computing research field has seen increased research activity over the last 20 years …
[HTML][HTML] Adaptive autonomous UAV scouting for rice lodging assessment using edge computing with deep learning EDANet
Rice is a globally important crop that will continue to play an essential role in feeding our
world as we grapple with climate change and population growth. Lodging is a primary threat …
world as we grapple with climate change and population growth. Lodging is a primary threat …
Food informatics—Review of the current state-of-the-art, revised definition, and classification into the research landscape
C Krupitzer, A Stein - Foods, 2021 - mdpi.com
Background: The increasing population of humans, changing food consumption behavior,
as well as the recent developments in the awareness for food sustainability, lead to new …
as well as the recent developments in the awareness for food sustainability, lead to new …
Performance evaluation of edge-computing platforms for the prediction of low temperatures in agriculture using deep learning
Abstract The Internet of Things (IoT) is driving the digital revolution. AlSome palliative
measures aremost all economic sectors are becoming “Smart” thanks to the analysis of data …
measures aremost all economic sectors are becoming “Smart” thanks to the analysis of data …
Assessing the efficacy of machine learning techniques to characterize soybean defoliation from unmanned aerial vehicles
Severe crop defoliation caused by insects and pests is linked to low agricultural productivity.
If the root cause is not addressed, severe defoliation spreads, damaging whole crop fields …
If the root cause is not addressed, severe defoliation spreads, damaging whole crop fields …
[HTML][HTML] Real-time identification of rice weeds by UAV low-altitude remote sensing based on improved semantic segmentation model
Y Lan, K Huang, C Yang, L Lei, J Ye, J Zhang, W Zeng… - Remote Sensing, 2021 - mdpi.com
Real-time analysis of UAV low-altitude remote sensing images at airborne terminals
facilitates the timely monitoring of weeds in the farmland. Aiming at the real-time …
facilitates the timely monitoring of weeds in the farmland. Aiming at the real-time …
Whole-field reinforcement learning: A fully autonomous aerial scouting method for precision agriculture
Unmanned aerial systems (UAS) are increasingly used in precision agriculture to collect
crop health related data. UAS can capture data more often and more cost-effectively than …
crop health related data. UAS can capture data more often and more cost-effectively than …
Managing edge resources for fully autonomous aerial systems
Fully autonomous aerial systems (FAAS) fly complex missions guided wholly by software. If
users choose software, compute hardware and aircraft well, FAAS can complete missions …
users choose software, compute hardware and aircraft well, FAAS can complete missions …
[图书][B] Autonomous agricultural vehicles: Concepts, principles, components, and development guidelines
A Roshanianfard, SF Ardabili - 2024 - taylorfrancis.com
This comprehensive guide to agricultural robots is the ideal companion for any student or
professional engineer looking to understand and develop autonomous vehicles to use on …
professional engineer looking to understand and develop autonomous vehicles to use on …
Autonomous navigation of a center-articulated and hydrostatic transmission rover using a modified pure pursuit algorithm in a cotton field
This study proposes an algorithm that controls an autonomous, multi-purpose, center-
articulated hydrostatic transmission rover to navigate along crop rows. This multi-purpose …
articulated hydrostatic transmission rover to navigate along crop rows. This multi-purpose …