Article
Nanoscience & Nanotechnology
Meng Wang, Dongjie Luo, Mingxian Liu, Ruihua Zhang, Zihao Wu, Xinqing Xiao
Summary: This paper proposes and develops a flexible wearable optical wireless sensing system (FWOS) for food quality monitoring. The FWOS consists of different sensor arrays to suit different fruit sizes and can transmit spectral data to smartphones or personal computers via Bluetooth. The FWOS has the advantages of a simple process, low cost, real-time monitoring, and small physical size. The results show that FWOS has the potential to significantly reduce fruit waste rates and ensure food quality and safety.
JOURNAL OF SCIENCE-ADVANCED MATERIALS AND DEVICES
(2023)
Article
Chemistry, Analytical
Weipeng Zhang, Bo Zhao, Shengbo Gao, Yuankun Zheng, Liming Zhou, Suchun Liu
Summary: A fire monitoring system for cotton pickers was designed based on a GA optimized BP neural network model, which predicted the fire situation by integrating the monitoring data from temperature and humidity sensors and CO concentration sensors. An industrial control host computer system was developed to monitor the CO gas concentration in real time and display it on the vehicle terminal. Experimental verification showed that the system had a monitoring error rate of 3.44%, an accurate early warning rate of over 96.5%, and false alarm rate and missed alarm rate of less than 3%.
Article
Computer Science, Information Systems
Marilda Ardito, Fabiana Mascolo, Martina Valentini, Francesco Dell'Olio
Summary: Posture monitoring is essential for preventing spine pathologies, with the market pushing for new technical solutions that are comfortable and cost-effective. A prototype microcontroller-based system has been developed to signal incorrect postures with great sensitivity, showing potential for integration into garments and accurate detection of back flections.
Review
Chemistry, Analytical
Arif U. Alam, Pranali Rathi, Heba Beshai, Gursimran K. Sarabha, M. Jamal Deen
Summary: The use of smart packaging technologies in fruit packaging can reduce waste, improve fruit quality, and enhance public health. This article discusses the role, state-of-the-art, challenges, and prospects of smart packaging in fruit packaging.
Article
Chemistry, Analytical
Unseok Lee, Md Parvez Islam, Nobuo Kochi, Kenichi Tokuda, Yuka Nakano, Hiroki Naito, Yasushi Kawasaki, Tomohiko Ota, Tomomi Sugiyama, Dong-Hyuk Ahn
Summary: This study proposes and designs an automated clip-type IoT camera-based growth monitoring and harvest date prediction system for tomato cultivation. Using deep learning-based methods, the system monitors the growth of flowers and fruits and calculates the harvest date based on these data and greenhouse temperature.
Article
Agriculture, Multidisciplinary
Ee Ping Kho, Sing Ngie David Chua, Soh Fong Lim, Lee Chung Lau, Mohd Tirmidzi Ngapdul Gani
Summary: This paper presents a wireless sensor network (WSN) monitoring system for young sago palms in mist chambers. The system monitors temperature, relative humidity, and light intensity, and allows for instant readings and data transmission through a wireless network and web portal connection. The system achieved reliable data transmission with a low packet loss rate and operated at a low cost using a GPRS gateway. It lays a foundation for smart farming and can be further developed for precision agriculture.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Materials Science, Multidisciplinary
Chenggen Wu, Lei Han, Yupeng Dong, Miaomiao Guo, Rui Wang, Jiawei Si
Summary: With the global spread of infectious diseases, health monitoring has become increasingly important for disease prevention. Contact health monitoring presents a risk of disease transmission between patients and medical workers, leading to increased attention on contactless health monitoring. The current challenge lies in solving the need for a flexible structure and the ability to detect multiple parameters wirelessly. Therefore, we propose a wireless battery-free flexible sensing system for continuous and contactless wearable health monitoring. The system consists of three sensing modules integrated with inductance-capacitance resonators for monitoring temperature, humidity, and pressure. The all-flexible structure meets the requirements for contactless health monitoring and the system shows potential in obtaining physiological status for epidemic prevention and control.
ADVANCED MATERIALS TECHNOLOGIES
(2023)
Article
Green & Sustainable Science & Technology
Rajesh Singh, Mohammed Baz, Ch Lakshmi Narayana, Mamoon Rashid, Anita Gehlot, Shaik Vaseem Akram, Sultan S. Alshamrani, Deepak Prashar, Ahmed Saeed AlGhamdi
Summary: Oil pipeline monitoring plays a significant role in minimizing the impact of pipeline accidents on the environment and human beings. A hybrid architecture based on 2.4 GHz Zigbee and LoRa communication is proposed in this study for real-time monitoring of oil pipelines. Simulation and real-time experiments are conducted to evaluate the performance of the system, showcasing the potential of IoT technology in enhancing oil pipeline supervision.
Review
Chemistry, Physical
Sang A. Han, Muhammad Naqi, Sunkook Kim, Jung Ho Kim
Summary: Wearable devices play a crucial role in smart healthcare monitoring system by detecting and transmitting user's biological signals for all-day monitoring, providing personalized care, and offering various benefits in healthcare scenarios.
Article
Materials Science, Multidisciplinary
Junjie Qin, Wei Wang, Lixin Cao
Summary: Wearable biosensors are important tools in personalized health monitoring and have the potential to transform traditional centralized diagnosis to home diagnosis. This study introduces two types of wearable devices with sandwich structures that use photonic crystal hydrogel biosensors for detecting cortisol in human sweat. The integrated biosensors utilize molecular imprinting and antibody-antigen binding techniques tailored to different storage and detection requirements. By analyzing the color change of the hydrogel with a smartphone, the researchers were able to monitor the dynamic fluctuations of cortisol in sweat during diurnal cycles. The detection limit reached the nmol/L level, meeting the requirements for detecting body fluids. The development of these wearable devices offers a personalized approach to stress self-management.
ACS APPLIED POLYMER MATERIALS
(2023)
Article
Plant Sciences
Ling Liao, Sichen Li, Yunjie Li, Zehao Huang, Jiahao Li, Bo Xiong, Mingfei Zhang, Guochao Sun, Zhihui Wang
Summary: Pre- and post-harvest methyl jasmonate treatments can reduce chilling injury and maintain the quality of lemon fruits during cold storage. The treatment enhances antioxidant enzyme activities, while reducing phospholipase D and lipoxygenase activities and malondialdehyde content. Pre-harvest treatment shows better results, with 0.3 mM concentration being the most effective in protecting the fruits.
Article
Multidisciplinary Sciences
Flora Maria de Melo Villar, Francisco de Assis de Carvalho Pinto, Fabio Lucio Santos, Daniel Marcal de Queiroz, Mariana Ribeiro Pereira, Domingos Sarvio Magalhaes Valente
Summary: The domestication of macaw palm presents potential in biofuel production, with challenges in harvesting due to lack of specific machinery. Research on the physical properties of the plant is necessary for developing technology. Mechanical vibration can be used for fruit shedding, and model validation and sensitivity tests indicate fruit density and elasticity modulus as key parameters influencing the natural frequencies of the fruit-rachilla system.
Article
Computer Science, Information Systems
Chao Jiang, Jilong Xie, Jian Zhao, Xihai Zhang
Summary: A novel real-time monitoring system was proposed in this research, utilizing ZigBee and LPWAN technologies for long-distance transmission of line joint temperature data. Through the use of LoRa multi-hop communication technology and NB-IoT technology, the system achieves long-distance transmission with low power consumption.
Article
Engineering, Electrical & Electronic
Chaehyun Kim, Ahram Jang, Sebin Kim, Sungbo Cho, Donghun Lee, Young-Joon Kim
Summary: In this study, a simple and minimally invasive ECG measurement system for mice was developed. It consists of a miniaturized wearable ECG monitoring device and a smartphone application that displays real-time ECG waveform and heart rate. The system proved to be feasible through validation experiments.
IEEE SENSORS JOURNAL
(2023)
Article
Computer Science, Artificial Intelligence
Helena R. Goncalves, Ana Rodrigues, Cristina P. Santos
Summary: This article introduces a new gait monitoring system for Parkinson's disease patients based on wearable monitoring devices, with experimental results showing high efficiency, time-effectiveness, strong user adaptability, and low computational load for real-time gait event detection.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Agriculture, Multidisciplinary
Lucas Costa, Leigh Archer, Yiannis Ampatzidis, Larissa Casteluci, Glauco A. P. Caurin, Ute Albrecht
Summary: A deep learning segmentation network was developed to automate analysis of stomatal density and size, distinguishing between open and closed stomata with up to 99% accuracy. This method is rapid, low-cost, and applicable to a variety of crop and non-crop plant species.
PRECISION AGRICULTURE
(2021)
Article
Agriculture, Multidisciplinary
Lucas Costa, Jordan McBreen, Yiannis Ampatzidis, Jia Guo, Mostafa Reisi Gahrooei, Md Ali Babar
Summary: This study aims to predict in-season genetic variations for cellular membrane thermostability, yield, and other traits in wheat under heat stress using spectral data collected from UAVs. The results show that the models developed have good accuracy for small datasets with high dimensionality.
PRECISION AGRICULTURE
(2022)
Article
Energy & Fuels
Ryo Arai, Satoru Sakai, Akihiro Tatsuoka, Qin Zhang
Summary: This paper discusses the importance of energy behaviors in hydraulic cylinder dynamics for model-based control of agriculture scale excavators. The author constructs a nominal numerical simulator based on experimental data and analyzes energy behaviors from the port-Hamiltonian point of view. The study shows that the port-Hamiltonian perspective is applicable in agriculture scale despite modeling errors.
Article
Agriculture, Multidisciplinary
Lucas Costa, Sudip Kunwar, Yiannis Ampatzidis, Ute Albrecht
Summary: This study proposes a novel methodology to determine leaf nutrient concentrations of citrus trees using UAV multispectral imagery and AI. The model developed showed high precision in determining macronutrients and moderate precision in determining micronutrients in citrus field trials. Overall, the UAV- and AI-based methodology proved efficient in determining nutrient concentrations and generating nutrient maps in commercial citrus orchards.
PRECISION AGRICULTURE
(2022)
Article
Plant Sciences
Zongmei Gao, Yanru Zhao, Gwen-Alyn Hoheisel, Lav R. Khot, Qin Zhang
Summary: The study demonstrated the potential of hyperspectral imaging for detecting freeze induced bud damage in highbush blueberries, with five specific wavelengths identified as reliable for bud damage detection. This indicates the possibility of using optical sensing technology in agriculture to improve crop management practices.
JOURNAL OF BERRY RESEARCH
(2021)
Article
Agronomy
Zheng Zhou, Geraldine Diverres, Chenchen Kang, Sushma Thapa, Manoj Karkee, Qin Zhang, Markus Keller
Summary: This study proposes a robust strategy to assess crop water status in grapevines by using thermal and RGB images to calculate crop water stress index (CWSI) and correlating it with leaf water potential (psi(leaf)). The results demonstrate that the proposed algorithm can be used for real-time assessment of crop water status in commercial vineyards and decision support systems for grapevine irrigation management.
Article
Agriculture, Multidisciplinary
Fangfang Gao, Wentai Fang, Xiaoming Sun, Zhenchao Wu, Guanao Zhao, Guo Li, Rui Li, Longsheng Fu, Qin Zhang
Summary: This study develops an automated video processing method to improve the counting accuracy of apple fruits in orchard environment. By tracking the trunk instead of the fruits, a higher accuracy and speed can be achieved. The method combines YOLOv4-tiny network and CSR-DCF algorithm for training and utilizes frame displacement to predict fruit locations. Results show a high counting accuracy in orchard videos.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Agriculture, Multidisciplinary
Santosh Bhusal, Manoj Karkee, Uddhav Bhattarai, Yaqoob Majeed, Qin Zhang
Summary: This study investigates the automation of a UAV-based bird deterrence system for agricultural fields. By optimizing the machine vision system, dynamically creating intelligent UAV missions, and executing tasks independently or jointly, the system achieved a successful completion rate of around 90%. However, the system still has shortcomings due to the lack of GPS navigation.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Agriculture, Multidisciplinary
Xue Zhou, Yiannis Ampatzidis, Won Suk Lee, Congliang Zhou, Shinsuke Agehara, John K. Schueller
Summary: Bruising is a major defect in strawberries, affecting their quality and shelf life. A novel machine vision technique using deep learning was developed in this study to accurately detect and classify the severity of strawberry bruises. The technique showed higher accuracy in detection and classification under UV light.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Review
Agriculture, Multidisciplinary
Qinghua Yang, Xiaoqiang Du, Zhiheng Wang, Zhichao Meng, Zenghong Ma, Qin Zhang
Summary: This article provides a systematic overview of recent achievements in agricultural robotic technologies for crop production. It focuses on three core aspects: mobile platforms and in-field navigation technologies; actuation mechanisms and end-effector technologies; and target detection and operation planning technologies. The article also briefly introduces successful robotic solutions for various field operations, such as transplanting, weeding, harvesting, and pruning.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2023)
Article
Agricultural Engineering
Vitor A. Gontijo da Cunha, Jeanette Hariharan, Yiannis Ampatzidis, Pamela D. Roberts
Summary: Florida, the largest fresh tomato producer in the USA, faces the threat of tomato bacterial spot disease (TBS) due to its subtropical climate. This study explores the use of hyperspectral imaging and machine learning algorithms for early detection of TBS in tomato crops, achieving promising results.
BIOSYSTEMS ENGINEERING
(2023)
Editorial Material
Agriculture, Multidisciplinary
Qin Zhang
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2023)
Proceedings Paper
Automation & Control Systems
Zixuan He, Manoj Karkee, Qin Zhang
Summary: Automated or robotic harvesting methods are being investigated as alternatives to manual harvesting in strawberry production. This study focused on detecting and estimating the location of strawberries using machine vision systems. The use of YOLOv4 and YOLOv4-tiny models achieved high precision in detecting and estimating strawberry centers in field conditions.
Article
Agricultural Engineering
Shirin Ghatrehsamani, Yiannis Ampatzidis, John K. Schueller, Reza Ehsani
Summary: Heat treatment has been used to treat plants affected by heat-sensitive pathogens, such as in-field treatment of HLB-affected trees using a mobile thermotherapy system. A heat transfer model was developed to simulate the heat penetration inside the tree and predict the temperature in the phloem during in-field heat treatment, with simulation results consistent with experimental measurements.
Article
Robotics
Xin Zhang, Manoj Karkee, Qin Zhang, Matthew D. Whiting
Summary: Fresh market apples in the United States, mainly produced in Washington, face challenges due to uncertain seasonal labor. Automated harvesting solutions are being developed using computer vision and convolutional neural networks to identify tree branches and trunks for precise end-effector positioning. ResNet-18 has shown superior performance in identification accuracy compared to VGGs, aiding in the success of automated shaking points determination.
JOURNAL OF FIELD ROBOTICS
(2021)