A5101652244- Smart Agriculture and AI
- Plant Virus Research Studies
- Plant Disease Management Techniques
- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Spectroscopy and Chemometric Analyses
- Date Palm Research Studies
- Leaf Properties and Growth Measurement
- Vascular Malformations Diagnosis and Treatment
- Hearing Loss and Rehabilitation
- Genomics, phytochemicals, and oxidative stress
- Mycotoxins in Agriculture and Food
- Intracerebral and Subarachnoid Hemorrhage Research
- Music and Audio Processing
- Plant tissue culture and regeneration
- Acute Ischemic Stroke Management
- Advanced Chemical Sensor Technologies
- Robotics and Sensor-Based Localization
- Glioma Diagnosis and Treatment
- Greenhouse Technology and Climate Control
- Speech and Audio Processing
- Natural Products and Biological Research
- Bioactive natural compounds
- Formal Methods in Verification
- Machine Learning in Healthcare
Northwestern Polytechnical University
2024
Qingdao University
2009-2024
Michigan State University
2020-2024
Affiliated Hospital of Qingdao University
2020-2024
Yangzhou University
2023-2024
China University of Petroleum, East China
2024
Nanjing Agricultural University
2019
Abstract Decreased availability and rising cost in labor poses a serious threat to the long‐term profitability sustainability of apple industry United States many other countries. Harvest automation is thus urgently needed. In this paper, we present unified system design field evaluation new harvesting robot. The robot mainly composed specially designed perception component, four‐degree‐of‐freedom manipulator, an improved vacuum‐based soft end‐effector, dropping/catching component receive...
Recent advancements in deep learning-based approaches have led to remarkable progress fruit detection, enabling robust identification complex environments. However, much less has been made on 3D localization, which is equally crucial for robotic harvesting. Complex shape/orientation, clustering, varying lighting conditions, and occlusions by leaves branches greatly restricted existing sensors from achieving accurate localization the natural orchard environment. In this paper, we report...
Automated apple harvesting has attracted significant research interest in recent years because of its great potential to address the issues labor shortage and rising costs. One key challenge automated is accurate robust detection, due complex orchard environments that involve varying lighting conditions, fruit clustering foliage/branch occlusions. Apples are often grown clusters on trees, which may be mis-identified as a single thus causes localization for subsequent robotic operations. In...
<b><sc>Abstract.</sc></b> Weed management plays an important role in crop yield and quality protection. Conventional weed control methods largely rely on herbicide application, which incurs significant costs poses environmental hazards to the environments human health. Machine vision-based automated weeding has gained increasing attention for sustainable through identification site-specific treatments. However, it remains a challenging task reliably recognize weeds variable field conditions,...
Deoxynivalenol (DON) is a common mycotoxin that induces intestinal inflammation and oxidative damage in humans animals. Given lithocholic acid (LCA) has been suggested to inhibit inflammation, we aimed investigate the protective effects of LCA on DON-exposed porcine epithelial IPI-2I cells underlying mechanisms. Indeed, rescued DON-induced cell death reduced DON-stimulated inflammatory cytokine levels stress. Importantly, nuclear receptor PPARγ was identified as key transcriptional factor...
Due to labor shortage and rising cost for the apple industry, there is an urgent need development of robotic systems efficiently autonomously harvest apples. In this paper, we present a system overview algorithm design our recently developed harvester prototype. Our enabled by close integration several core modules, including visual perception, planning, control. This paper covers main methods advancements in deep learning-based multi-view fruit detection localization, unified picking...
Deoxynivalenol (DON) is among the most prevalent contaminants in cereal crops and has been demonstrated to impair male spermatogenesis induce oxidative stress, testicular apoptosis, disruption of blood-testis barrier (BTB). Lactoferrin (LF) an iron-binding glycoprotein with multifunctions including anti-inflammation antioxidation. Thus, this study aimed investigate effects LF on integrity BTB DON-exposed mice. Thirty-two mice were allotted four groups for a 35-day feeding period: vehicle...
Robust and effective fruit detection localization is essential for robotic harvesting systems. While extensive research efforts have been devoted to improving detection, less emphasis has placed on the aspect, which a crucial yet challenging task due limited depth accuracy from existing sensor measurements in natural orchard environment with variable lighting conditions foliage/branch occlusions. In this paper, we present system design calibration of an Active LAser-Camera Scanner (ALACS),...
To examine the effects of intraventricular pre-treatment with a combination recombinant adeno-associated virus vectors encoding VEGF (rAAV-VEGF) and Ang1 (rAAV-Ang1) on early stroke in rat model transient middle cerebral artery occlusion (tMCAO).rAAV-VEGF/rAAV-Ang1 or rAAV-VEGF/rAAV-null vector was delivered into lateral ventricles 48 rats. Eight weeks later, rats were subjected to tMCAO for 2 hours. During stages ischemic reperfusion, expression levels, blood-brain barrier (BBB)...