Article
Agriculture, Multidisciplinary
Tan Liu, Qingyun Yuan, Yonggang Wang
Summary: Studying the optimization control of greenhouse light environment is significant for improving the production efficiency and economic benefits of greenhouse crops. The proposed hierarchical optimization control method simplifies computational complexity, realizes solution to the light environment control problem, and achieves multi-objective optimization control of the light environment.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2021)
Article
Plant Sciences
Jichao Gao, Jiafa Luo, Stuart Lindsey, Yuanliang Shi, Zhaolin Sun, Zhanbo Wei, Lingli Wang
Summary: This study found that while NIs can reduce nitrogen oxide emissions and nitrate leaching, they can also increase ammonia volatilization and ammonium leaching. NIs have a positive impact on crop yield and crop quality, promoting plant growth and improving quality significantly.
JOURNAL OF SOIL SCIENCE AND PLANT NUTRITION
(2021)
Article
Thermodynamics
Yu Bo, Yu Zhang, Kunpeng Zheng, Jingxu Zhang, Xiaochan Wang, Jin Sun, Jian Wang, Sheng Shu, Yu Wang, Shirong Guo
Summary: Research on light environment in greenhouses mainly focuses on solar greenhouses with simple structures, and the universality of illumination models is low to date. In order to study light environments in various types of greenhouses, a Greenhouse Light Environment Simulation software has been developed using ray tracing and Monte Carlo methods. The software analyzes the light path of the sampling point and has been verified and applied in a three-span plastic greenhouse. Results show that the mean relative errors are below 10% for each month and typical weather conditions, and the mean relative error of the simulated mean at any point in the greenhouse is less than 4%. Solar radiation intensity in the greenhouse is mainly affected by the solar incidence angle, while the solar radiation uniformity is mainly affected by the roof shape. The highest average solar radiation intensity in the greenhouse occurs in August (over 250 W/m2), while the lowest occurs in December (below 60 W/m2). When the greenhouse is oriented at 10 degrees east by south, the total solar radiation is 2% higher and the uniformity of daily solar radiation is 0.8% higher compared to when the greenhouse is oriented to the south.
Review
Green & Sustainable Science & Technology
Yu Guo, Huajian Zhao, Shanhong Zhang, Yang Wang, David Chow
Summary: Resource-use efficiency and crop yield are important factors in agricultural greenhouse management. Using appropriate modeling methods can enhance control performance, design water and energy-saving strategies, and forecast extreme environments in advance, which can reduce pests and diseases and provide high-quality food. Interest in greenhouse modeling and optimization has increased significantly, and this study aims to provide guidance by reviewing 73 representative articles. It details approaches to improve greenhouse models, such as parameter identification, structure optimization, and multi-model integration, and highlights popular technologies and future trends, such as dynamic and neural network techniques and heuristic algorithms. Future valuable developments include deep learning, knowledge-data combinations, and coupling between greenhouse system elements.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Elisa M. M. Esteves, George Brigagao, Claudia R. Morgado
Summary: The study presents an optimization method for biofuels production from integrated crop-livestock system, using multi-objective optimization and life-cycle assessment. A case study of a farm in the Brazilian Midwest shows that soybean biodiesel has greater energy potential and lower greenhouse gas emissions compared to bioethanol and biogas.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Engineering, Multidisciplinary
Umar Zangina, Salinda Buyamin, M. S. Z. Abidin, M. S. A. Mahmud
Summary: The use of robotics in agriculture has increased productivity by automating tasks such as spraying and harvesting. Navigation strategies are essential for optimizing crop yield and quality. A study was conducted to enhance the autonomy of an agricultural mobile robot in a greenhouse farm, using an improved genetic algorithm to solve the vehicle routing problem efficiently.
ALEXANDRIA ENGINEERING JOURNAL
(2021)
Article
Agricultural Engineering
Tao Liu, Yameng Li, Huan Zhang, Ningyuan Zhang, Nadeem Tahir, Quanguo Zhang
Summary: To achieve carbon neutrality, the potential contribution of hydrogen production from crop residues by microbial fermentation technology and greenhouse gas (GHG) reduction in China was studied. The annual yield of crop straw was estimated, and a grey model GM (1, 1) was used to predict the resources available for hydrogen production. The maximum straw resource available for hydrogen production was found to be about 4.54 x 10^8 tons, corresponding to 1.31 x 10^11 m3 of hydrogen. The energy carried by the obtained hydrogen was 73% and 1.15 times the energy of national civil natural gas consumption and transportation gasoline consumption, respectively. The potential reduction in greenhouse gas emissions was 2.42 x 10^8 t/a CO2-eq, accounting for 2.4% of GHG emissions.
BIORESOURCE TECHNOLOGY
(2023)
Article
Agricultural Engineering
Ido Seginer
Summary: A simplified crop model with an assimilates buffer is developed and compared to a traditional model without a buffer. The study investigates the effects of different model formulations on optimal control of the greenhouse environment. The results show that the model with a buffer improves growth balance and enhances the positive correlation between temperature and radiation.
BIOSYSTEMS ENGINEERING
(2022)
Article
Computer Science, Information Systems
Atif Rizwan, Anam Nawaz Khan, Rashid Ahmad, Do Hyeun Kim
Summary: Greenhouses are a productive system that responds to global demand for fresh food, but controlling their environment is challenging. This study presents an optimization module that considers outdoor conditions to minimize energy consumption. A metaheuristic-based differential evolution (DE) algorithm is used to optimize climate parameters while considering indoor and outdoor constraints. Additionally, a long short-term memory (LSTM)-based inference model is used on an Internet of Things (IoT) device to predict future conditions. The proposed model significantly reduces energy consumption by 36%.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Agriculture, Multidisciplinary
Xinyan Chen, Zhaohui Jiang, Jiahui Yang, Jiawang Ren, Yuan Rao, Wu Zhang
Summary: The environmental parameters of greenhouses are interrelated and unevenly distributed, making greenhouse control complex. Optimizing the light environment in greenhouses is significant for crop growth. A data-driven decision support scheme for controlling light environment in different areas of a greenhouse is proposed, aiming to achieve accurate control, meet crop growth needs, and reduce light resource consumption.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2023)
Article
Computer Science, Information Systems
Israr Ullah, Muhammad Fayaz, Muhammad Aman, Dohyeun Kim
Summary: The greenhouse industry has experienced significant growth globally, but high energy consumption and labor cost remain major challenges. This article proposes an IoT-based smart solution that integrates key components and uses artificial neural network-based learning modules to enhance prediction and optimization. Experimental analysis and comparative results show that the proposed model achieves reduced energy consumption and cost while maintaining the desired indoor environment for maximizing plant production.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Agricultural Engineering
Haofang Yan, Samuel Joe Acquah, Jianyun Zhang, Guoqing Wang, Chuan Zhang, Ransford Opoku Darko
Summary: The domestication of plants through greenhouse crop production has significantly changed agricultural systems globally. Optimal crop water use can be achieved by selecting the right greenhouse technology and user-friendly ETc model. Bridging the gap between advanced ETc models and their application in greenhouse crop production is crucial for enhancing water use efficiency.
INTERNATIONAL JOURNAL OF AGRICULTURAL AND BIOLOGICAL ENGINEERING
(2021)
Article
Mathematics, Applied
Sajida Kousar, Maryam Nazir Sangi, Nasreen Kausar, Dragan Pamucar, Ebru Ozbilge, Tonguc Cagin
Summary: Pakistan, a key country in South Asia, faces challenges in agricultural irrigation due to uncertainty. To address these issues, researchers have designed an optimization model that maximizes crop output and net profit by considering factors such as climate change and water availability.
Article
Agronomy
Maria de los Angeles Moreno-Teruel, Francisco Domingo Molina-Aiz, Araceli Pena-Fernandez, Alejandro Lopez-Martinez, Diego Luis Valera-Martinez
Summary: The use of an experimental film cover with high transmittance and high light diffusivity was found to increase tomato yield and photosynthetic activity without raising the crop temperature. However, the cover had a significant impact on soil surface temperature.
Article
Soil Science
Guangdi D. Li, Graeme D. Schwenke, Richard C. Hayes, Adam J. Lowrie, Richard J. Lowrie, Graeme J. Poile, Albert A. Oates, Binbin Xu, Maheswaran Rohan
Summary: Soil emissions of nitrous oxide (N2O) in Australian semi-arid cropping systems can be further reduced by incorporating legumes into cereal-based rotations. Practices such as no-till systems and product removal (cutting for hay or harvesting for grain) can optimize mitigation of N2O emissions derived from legumes in such systems.
SOIL & TILLAGE RESEARCH
(2021)