Crop row detection is one of the foundational and pivotal technologies agricultural robots autonomous vehicles for navigation, guidance, path planning, automated farming in crop fields. However, due to a complex dynamic environment, remains challenging task. The surrounding background, such as weeds, trees, stones, can interfere with appearance increase difficulty detection. accuracy rows also impacted by different growth stages, environmental conditions, curves, occlusion. Therefore,...

Smart cities have become a trend with improved efficiency, resilience, and sustainability, providing citizens high quality of life. With the increasing demand for more participatory bottom–up governance approach, play an active role in process policy making, revolutionizing management smart cities. In example urban infrastructure maintenance, public participation is remarkable as condition closely related to their daily Although blockchain has been widely explored benefit data collection...

Abstract The autonomous navigation of greenhouse robots depends on precise mapping, accurate localization information and a robust path planning strategy. However, the complex agricultural environment introduces significant challenges to robot perception planning. In this study, hardware system designed exclusively for environments is presented, employing multi‐sensor fusion diminish interference environmental conditions. Furthermore, framework based improved lightweight ground optimized...

Field crops are usually planted in rows, and accurate identification extraction of crop row centerline is the key to realize autonomous navigation safe operation agricultural machinery. However, diversity species morphology, as well field noise such weeds light, often lead poor detection complex farming environments. In addition, curvature rows also poses a challenge safety farm machinery during travel. this study, combined multi-crop algorithm proposed based on improved YOLOv8 (You Only...

Secure grasping of fragile fruits and other agricultural products without potential slip damage is still a challenge due to the size shape varying, bruise susceptible, as well hardness changing during fruit vegetable maturation. In robotic process, mechanical mainly depends upon aggressiveness gripper sensitivity product damage. this study, flexible integrated with multi-sensor network designed tested. The proposed includes three kinds sensors that enable grasp various sense touch visual...

Automatic plant phenotype measurement technology based on the rapid and accurate reconstruction of maize structures at seedling stage is essential for early variety selection, cultivation, scientific management maize. Manual time-consuming, laborious, error-prone. The lack mobility large equipment in field make high-throughput detection phenotypes challenging. Therefore, a global 3D algorithm was proposed phenotypic traits. First, self-propelled mobile platform used to automatically collect...

The nondestructive assessment of nitrogen status in strawberry was performed to analyze its growth and provide guidance for precise management N fertilizer using Fourier transform near-infrared reflectance (FT-NIR) spectroscopy with leaf spectral reflectance. soil plant analysis development (SPAD) value is considered as an indicator that indirectly reflects the strawberry. However, variation cultivars leads differences cell structure light scattering and/or reflection effects leaves during...

Collision detection is very significant for the dual-robot coordination system. To detect collisions occurred in system efficiently, an accurate and efficient collision algorithm proposed this paper. The has two components: one modeling method building model, other overlap test model. According to method, 6-DOF robot manipulator modeled as a bounding volume hierarchical tree with three levels based on manipulator's tree. Then proposed. Finally, validity of verified by simulation VREP.

The autonomous navigation of greenhouse robots depends on precise mapping, accurate localization information and a robust path planning strategy. However, the complex agricultural environment introduces significant challenges to robot perception planning. In this study, hardware system designed exclusively for environments is presented, employing multi-sensor fusion diminish interference environmental conditions. Furthermore, framework based improved LeGO-LOAM OpenPlanner has been proposed....

With the development of quantum computers, security public-key cryptosystems currently in use is now under serious threat. The National Institute Standards and Technology (NIST) has initiated a process to standardize one or more quantum-resistant cryptographic algorithms. Compared code-based, lattice-based hash-based cryptography, multivariate cryptography much better performance low-cost devices. In this paper, we compare four NIST 2nd round candidates quadratic based signature schemes:...

Abstract Background The assessment of nitrogen status non-destructively in strawberry was performed to indicate its growth and provide guidance for precise management N fertilizer using near-infrared reflectance (NIR) spectroscopy with leaf spectral reflectance. Leaf soil plant analysis development (SPAD) value thought as an indicator data that indirectly reflects strawberry. However, the variation cultivars would lead differences cell structure light scattering and/or reflection effects...

The autonomous navigation of greenhouse robots depends on precise mapping, accurate localization information and a robust path planning strategy. However, the complex agricultural environment introduces significant challenges to robot perception planning. In this study, hardware system designed exclusively for environments is presented, employing multi-sensor fusion diminish interference environmental conditions. Furthermore, framework based improved LeGO-LOAM OpenPlanner has been proposed....