Related references
Note: Only part of the references are listed.
Review
Plant Sciences
Heyang Yao et al.
Summary: Pest management in agriculture has been a longstanding challenge. Chemical pesticide control has been a major technology in solving pest problems, but it poses risks to food safety and the environment and may lead to pest resistance. Solar Insecticidal Lamp (SIL) has emerged as a popular physical control technology in China due to its low cost, eco-friendly nature, and minimal side effects. This study provides a comprehensive review of the phototactic rhythm of pests in different crops and explores the various factors influencing their behavior.
FRONTIERS IN PLANT SCIENCE
(2023)
Article
Computer Science, Information Systems
Xing Yang et al.
Summary: This study presents a completely decentralized solution called SIL-oriented binary sliding window-based fault self-detection scheme (SILOS) for Solar Insecticidal Lamp Internet of Things (SIL-IoT) nodes. It proposes a fault dictionary concept and a binary-based sliding window (BSW) fault self-detection approach to accurately detect faults while reducing communication and computational costs.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Agriculture, Multidisciplinary
Xueqian Fu et al.
Summary: Energy consumption in the agricultural sector is significant, and the Agricultural Energy Internet plays an important role in agricultural modernization. Key technologies include intelligent agricultural equipment and agro-industrial complementary operation model. The development trends involve new energy equipment, agro-industrial complementary, and carbon-neutral technology.
INFORMATION PROCESSING IN AGRICULTURE
(2023)
Article
Engineering, Electrical & Electronic
Pengju Si et al.
Summary: This paper introduces the use of insecticidal lamps embedded in unmanned aerial vehicles for pest control in agriculture, and the application of Internet of UAVs to extend its usage. The problem of target-barrier coverage is formulated to minimize the number of IL-UAVs needed. A solution is proposed based on the introduction of epsilon-target-barrier coverage.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Computer Science, Information Systems
Yuanhao Sun et al.
Summary: The article evaluates the application of agricultural mobile crowd sensing in data collection schemes, highlighting new opportunities and challenges such as data integrity and quality. A comparison with existing agricultural data collection solutions reveals significant advantages of agricultural mobile crowd sensing in terms of flexibility, data collection, and cost.
IEEE SYSTEMS JOURNAL
(2022)
Article
Green & Sustainable Science & Technology
Shiva Gorjian et al.
Summary: The world population is growing and so is the demand for food. To cope with climate change and global warming, areas are being used to generate clean electricity. The combination of crop production and solar photovoltaics in agrivoltaic technology offers a resource-efficient solution to the competition for arable lands. The implementation of agrivoltaic systems has increased exponentially in recent years, with c-Si STPV modules being the most commonly employed technology.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Environmental Sciences
Lingjun Wang et al.
Summary: This study explored the niche improvement path of photovoltaic agriculture in China by using a combination of the DEMATEL and DANP methods with the NK model. The research found that the niche fitness and improvement of photovoltaic agriculture are coordinated, and proposed the optimal niche improvement path for photovoltaic agriculture in China.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Computer Science, Information Systems
Yuanhao Sun et al.
Summary: Solar insecticidal lamps Internet of Things (SIL-IoT) is a new green prevention and control technology for pest management. This article proposes an MCS-enabled framework to address the maintenance problem of SILs and performs system analysis. The framework considers the partition structure of farmland and the insecticidal efficiency of SILs.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Xing Yang et al.
Summary: This study proposes a lightweight separable 1D convolution neural network for identifying sensor faults in the solar insecticidal lamp Internet of Things (SIL-IoTs) system. A novel time and channel attention module is used to separate sensor faults from electromagnetic interference noise. Experimental results show that the proposed method achieves a good trade-off between accuracy and efficiency.
IEEE OPEN JOURNAL OF THE INDUSTRIAL ELECTRONICS SOCIETY
(2022)
Article
Energy & Fuels
Zhiyuan Si et al.
Summary: This paper proposes a novel method based on satellite images to accurately forecast photovoltaic power by predicting cloud movement and dynamically selecting cloud regions. By utilizing the XGBoost algorithm and considering multiple factors, the accuracy of the forecast can be improved, as demonstrated through testing the effectiveness of the method compared to other benchmarks.
Editorial Material
Plant Sciences
Kai Huang et al.
FRONTIERS IN PLANT SCIENCE
(2021)
Review
Biotechnology & Applied Microbiology
Sami Touil et al.
Summary: Agrivoltaic systems combine crops with solar photovoltaics on the same land area, providing sustainability benefits. Studies have shown that shading from PV panels can affect crop growth and quality, with a coverage ratio under 25% showing minimal effect and a coverage ratio of 50-100% inhibiting crop growth for most species. In dry land climates, water use efficiency for some crops is higher in APV systems.
REVIEWS IN ENVIRONMENTAL SCIENCE AND BIO-TECHNOLOGY
(2021)
Article
Computer Science, Information Systems
Fan Yang et al.
Summary: This article focuses on the constrained SIL deployment problem in a mixed-crop farmland and proposes a hole-aware node deployment method based on the greedy algorithm, which achieves better performance than peer algorithms.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Fan Yang et al.
Summary: In this study, the weighted deployment problem of solar insecticidal lamps in agricultural Internet of Things is addressed, and a layered deployment method based on greedy algorithm is proposed to optimize the deployment locations through two phases and three design operations for achieving minimum deployment cost and maximum total weight. Simulation results show that the proposed method outperforms three peer algorithms in terms of deployment cost and total weight.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Energy & Fuels
Jaiyoung Cho et al.
Article
Computer Science, Hardware & Architecture
Kai Huang et al.
IEEE WIRELESS COMMUNICATIONS
(2020)
Article
Computer Science, Information Systems
Fan Yang et al.
IEEE INTERNET OF THINGS JOURNAL
(2020)
Article
Computer Science, Information Systems
Jan Bauer et al.
ACM TRANSACTIONS ON INTERNET OF THINGS
(2020)
Article
Computer Science, Information Systems
Kai Huang et al.
Article
Energy & Fuels
Carlos Toledo et al.
News Item
Multidisciplinary Sciences
Aisling Irwin
Article
Behavioral Sciences
Gui-Jun Wan et al.
Article
Thermodynamics
N. C. Batista et al.
