[HTML][HTML] A revisit of internet of things technologies for monitoring and control strategies in smart agriculture

A Rehman, T Saba, M Kashif, SM Fati, SA Bahaj… - Agronomy, 2022 - mdpi.com
With the rise of new technologies, such as the Internet of Things, raising the productivity of
agricultural and farming activities is critical to improving yields and cost-effectiveness. IoT, in …

[HTML][HTML] Intelligent robots for fruit harvesting: Recent developments and future challenges

H Zhou, X Wang, W Au, H Kang, C Chen - Precision Agriculture, 2022 - Springer
Intelligent robots for fruit harvesting have been actively developed over the past decades to
bridge the increasing gap between feeding a rapidly growing population and limited labour …

3D vision technologies for a self-developed structural external crack damage recognition robot

K Hu, Z Chen, H Kang, Y Tang - Automation in Construction, 2024 - Elsevier
Persistent cracking and progressive damage can weaken the operational performance of
structures such as bridges, dams, and concrete buildings. Consequently, research into …

[HTML][HTML] Recent advancements in agriculture robots: Benefits and challenges

C Cheng, J Fu, H Su, L Ren - Machines, 2023 - mdpi.com
In the development of digital agriculture, agricultural robots play a unique role and confer
numerous advantages in farming production. From the invention of the first industrial robots …

Deep learning based object detection for resource constrained devices: Systematic review, future trends and challenges ahead

V Kamath, A Renuka - Neurocomputing, 2023 - Elsevier
Deep learning models are widely being employed for object detection due to their high
performance. However, the majority of applications that require object detection are …

Development and evaluation of a robust soft robotic gripper for apple harvesting

X Wang, H Kang, H Zhou, W Au, MY Wang… - … and Electronics in …, 2023 - Elsevier
Fruit harvesting is facing challenges due to the labour shortage, which has been more
severe since the rapid pandemic. Robotic harvesting has been attempted in autonomous …

[HTML][HTML] Adaptive Active Positioning of Camellia oleifera Fruit Picking Points: Classical Image Processing and YOLOv7 Fusion Algorithm

Y Zhou, Y Tang, X Zou, M Wu, W Tang, F Meng… - Applied Sciences, 2022 - mdpi.com
Camellia oleifera fruits are randomly distributed in an orchard, and the fruits are easily
blocked or covered by leaves. In addition, the colors of leaves and fruits are alike, and …

Geometry-aware fruit grasping estimation for robotic harvesting in apple orchards

X Wang, H Kang, H Zhou, W Au, C Chen - Computers and Electronics in …, 2022 - Elsevier
Field robotic harvesting is a promising technique in recent development of agricultural
industry. It is vital for robots to recognise and localise fruits before the harvesting in natural …

Fruit pose recognition and directional orderly grasping strategies for tomato harvesting robots

J Rong, P Wang, T Wang, L Hu, T Yuan - Computers and Electronics in …, 2022 - Elsevier
The prospect of robotic harvesting in greenhouse tomato production has received much
attention in the tomato industry in recent years, but research into the replacement of manual …

Tomato recognition and location algorithm based on improved YOLOv5

T Li, M Sun, Q He, G Zhang, G Shi, X Ding… - … and Electronics in …, 2023 - Elsevier
In order to meet the requirements of target detection and location for intelligent tomato
picking, a recognition and location algorithm based on improved YOLOv5s is proposed in …