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Review
Agronomy
Florence Jacquet et al.
Summary: Reducing pesticide use is a shared goal and major public policy issue in several European countries. Agricultural research plays a significant role in addressing this problem and should adopt a pesticide-free paradigm. This article outlines five strategies and highlights the importance of interdisciplinary research projects.
AGRONOMY FOR SUSTAINABLE DEVELOPMENT
(2022)
Article
Energy & Fuels
Alasmer Ibrahim et al.
Summary: This paper proposes a new hybrid Machine Learning methodology for induction-motor fault detection. The experimental results have proved the superiority of this method in diagnosing faults under different load conditions.
Article
Engineering, Electrical & Electronic
Kai Zhang et al.
Summary: As photovoltaic integrated greenhouses become increasingly important, managing energy consumption efficiently to maximize profits is crucial. This paper introduces a particle swarm optimization scheme to optimize energy consumption scheduling in greenhouse production, facilitating the construction of photovoltaic integrated greenhouse systems.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Biochemistry & Molecular Biology
Bingbing Cai et al.
Summary: This study reveals the important role of the SlFBA4 gene in tomato growth and chilling tolerance. Over-expression of SlFBA4 increases photosynthesis and enzyme activity, leading to improved plant growth. Conversely, RNAi suppression of SlFBA4 results in opposite effects. Furthermore, over-expression of SlFBA4 enhances photosynthesis and enzyme activity, while reducing oxidative stress under chilling conditions. In contrast, RNAi lines exhibit more severe impairments in photosynthesis and oxidative stress under chilling stress.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Cell Biology
Panagiotis G. Asteris et al.
Summary: This study aimed to develop a predictive model for ICU hospitalization and death in COVID-19 patients and validate the association between complement-related genetic variants and impaired complement phenotype. We identified critical variants associated with severe COVID-19 and developed an artificial neural network (ANN) predicting morbidity and mortality with high accuracy.
JOURNAL OF CELLULAR AND MOLECULAR MEDICINE
(2022)
Article
Environmental Sciences
Eva Thomine et al.
Summary: Since the end of World War II, farming practices based on large monocultures and chemical use have had negative effects on the health of farmers and consumers, as well as reduced farmland biodiversity. This has led to agriculture facing challenges in feeding the growing world population with environmentally friendly products while providing a reasonable return for producers. Enhancing biocontrol efficiency could help meet these expectations, with a focus on managing landscape-level crop diversity to reduce pesticide use and enhance conservation biocontrol services.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Chemistry, Analytical
Ciprian Briciu-Burghina et al.
Summary: Soil moisture is crucial for plant growth and land-atmosphere interactions. This study evaluates the performance of a soil moisture sensor network using Sense Cap capacitance-based sensors, analyzing their analytical performance, data communication, and installation errors. The evaluation shows that the network provides a low-cost and user-friendly solution, offering high-resolution data for decision support and model algorithms.
Article
Telecommunications
Sultana Jahan Soheli et al.
Summary: Climate change has had a devastating impact on agriculture, prompting the need for innovative solutions. An automated smart greenhouse, utilizing an adaptive neuro fuzzy inference system (ANFIS) and Internet of Things (IoT), shows promise in boosting crop production by collecting real-time weather data and making predictions for optimum growing conditions. Through sensors, data on temperature, humidity, sunlight, and soil moisture is collected and fed into the fuzzy control system. This data is then used to determine the best values for temperature and humidity, which can be monitored and adjusted by farmers through a mobile app. Utilizing GSM or TCP/IP for data transfer, the system also addresses security concerns by considering potential IoT attacks and taking necessary steps to prevent them. In simulation, the system successfully detects attacks or security breaches at a precision value of 0.83, recall of 0.78, and FI score of 0.81. This innovative approach not only improves learning efficiency and prediction accuracy but also provides a secure and user-friendly solution for greenhouse maintenance. The system's ability to store and convert data in cloud storage ensures traceability and durability for customized indoor agriculture. Overall, this modern greenhouse maintenance system is efficient, cost-effective, secure, and easy to use.
WIRELESS PERSONAL COMMUNICATIONS
(2022)
Article
Multidisciplinary Sciences
Wonsub Yun et al.
Summary: The prevention of agricultural resource loss due to pests is an important issue. This study proposes a pest detection system based on deep learning for automatic pest density measurement. The system utilizes an image capture device for pheromone traps and a smartphone application to manage the processes. Experimental results show that the deep learning model achieves high accuracy in detecting pests.
SCIENTIFIC REPORTS
(2022)
Article
Environmental Sciences
Ibrahim Al-Helal et al.
Summary: This study measures the underground temperature profile and determines the optimal conditions for using geothermal effects in heating and cooling applications in arid regions. It also examines the possibility of water vapor condensation in the pipes and quantifies the maximum cooling/heating capacity. The results provide useful information for designers using geothermal effects for indoor space cooling and heating in arid regions.
Article
Agronomy
Kaige Liu et al.
Summary: This study developed a prediction model for cucumber downy mildew occurrence using LSTM neural network model combined with greenhouse environmental data, achieving high accuracy and performance, providing a reference for disease prediction in actual production.
Article
Masaharu KITANO et al.
Environmental Control in Biology
(2022)
Article
Ridwan Siskandar et al.
Jurnal Ilmu Pertanian Indonesia
(2022)
Article
Computer Science, Theory & Methods
Israr Ullah et al.
Summary: The application of IoT in greenhouse production can significantly increase crop yield and reduce energy consumption and costs. By optimizing and controlling the greenhouse climate, more efficient production can be achieved. Further research will explore more possibilities for improving energy efficiency.
Review
Energy & Fuels
Chiara Bersani et al.
Summary: Climate change and resource scarcity have increased the need for technological advancements in agriculture, with IoT-based solutions showing great potential in smart greenhouse applications.
Article
Food Science & Technology
Kamred Udham Singh et al.
Summary: Despite living in a rural country, farmers in India face numerous challenges, including losses caused by agricultural insect infestation. Wireless sensor network technology, as the backbone of modern precision agriculture, can address issues such as inadequate field surveillance, crop diseases, and ineffective pesticide management.
JOURNAL OF FOOD QUALITY
(2022)
Article
Agriculture, Multidisciplinary
Helen Kendall et al.
Summary: The potential of precision agriculture technologies among family farmers in China was revealed through an exploratory qualitative study. However, there is heterogeneity in their perceptions and willingness to adopt these technologies. To improve adoption rates, barriers need to be reduced through low-cost applications, improved information provision, financial support mechanisms, and reliable, regulated and affordable service provision.
PRECISION AGRICULTURE
(2022)
Article
Biochemical Research Methods
Tao Tao et al.
Summary: The proposed VGG-SVM weed classification model showed high accuracy, robustness, and real-time performance in identifying winter rape seeding and weeds. Compared to other methods, the VGG-SVM model demonstrated superior classification accuracy and robustness.
Article
Multidisciplinary Sciences
Sandeep Sharma et al.
Summary: The development of robust nutrient management strategies is crucial for improving crop productivity, profitability, and nutrient use efficiency. Managing nitrogen and potassium application rates is critically important in wheat-based production systems to maximize profitable production with minimal negative environmental impacts. This study investigates the effects of different fertilizer-N and fertilizer-K application rates on wheat productivity, nutrient use efficiency, and profitability. The results show that moderate nitrogen application significantly increases wheat productivity and nutrient uptake efficiency, while the interaction effect between nitrogen and potassium application is not significant.
Article
Energy & Fuels
Mulan Mu et al.
Summary: This article reviews the application of phase change materials (PCMs) in agricultural greenhouses, aiming to conserve energy and provide a comfortable environment for crop growth. The research covers the types, properties, applications, and mathematical models of PCMs. The main conclusion is that the melting temperature of PCMs should be close to the suitable growing temperature of crops, and paraffin wax is the main type of PCM used in agricultural greenhouses.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Computer Science, Artificial Intelligence
Jialin Hou et al.
Summary: This study proposes a dynamic artificial bee-ant colony algorithm (DABAA) to improve the running speed and accuracy of cloud services in agricultural machinery rental.
Article
Agriculture, Multidisciplinary
C. Maraveas et al.
Summary: The role of IoT in precision agriculture and smart greenhouses has been reinforced by recent R&D projects and growing commercialization of IoT infrastructure. However, optimal resource management remains a challenge, and the global deployment of IoT infrastructure is expected to yield about $500 billion of added value to the GDP by 2030.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Environmental Sciences
Zhenzhen Liu et al.
Summary: Biological control plays an important role in the production of fresh produce, but its adoption rate is still low. This study analyzes the factors influencing growers' adoption of biological control practices in China's orchard systems, and finds that market environment and risk attitudes are significant factors. Green certification and cooperative marketing are key in promoting the adoption of biological control practices. The findings provide important information for policymakers to formulate strategies for promoting the application and extension of biological control practices among farmers in developing countries like China.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Agronomy
Dan Jeric Arcega Rustia et al.
Summary: The development of an intelligent and integrated pest and disease management system, called IPDM-P-2, has enabled automatic detection and recognition of major greenhouse insect pests, as well as measurement of environmental conditions. The system has been installed in tomato and orchid greenhouses for over 1368 days, leading to significant yearly reductions in insect pest count. This innovative approach showcases the potential benefits of using data-driven IPM strategies to support farm managers in making informed decisions.
PEST MANAGEMENT SCIENCE
(2022)
Article
Multidisciplinary Sciences
Gyung Deok Han et al.
Summary: Research shows that different varieties within smart farms have different responses to light. The existence of these differences underscores the importance of distinguishing between varieties when collecting data to improve modeling accuracy.
Review
Engineering, Multidisciplinary
Maria Kondoyanni et al.
Summary: Biomimetics is the interdisciplinary cooperation between biology and technology, transferring principles from biological systems into practical applications. Soft robots have significant potential in agriculture, addressing issues in fruit harvesting. Despite concerns, the market for bio-inspired technologies continues to grow.
Article
Computer Science, Interdisciplinary Applications
Jiandong Huang et al.
Summary: The main objective of this study is to provide an auto-tuning model called cat swarm optimization (CSO) for predicting rock fragmentation. The results of the study show that the CSO model outperforms the particle swarm optimization (PSO) algorithm in terms of its predictive ability in the D-80 formula.
ENGINEERING WITH COMPUTERS
(2022)
Article
Plant Sciences
Li Ni et al.
Summary: Powdery mildew, caused by Podosphaera xanthii, is a common disease on greenhouse cucumbers in many countries, with Rhapsody showing the most significant disease reduction. Luna and Pristine fungicides also provide a level of control comparable to Rhapsody, while ActiveFlower may cause some phytotoxicity at higher rates.
CANADIAN JOURNAL OF PLANT PATHOLOGY
(2021)
Article
Computer Science, Artificial Intelligence
Soheyl Khalilpourazari et al.
Summary: This paper introduces a novel robust formulation for optimizing turning process parameters to achieve the lowest energy consumption and highest precision in uncertain environments. Artificial intelligence-based solution techniques are designed to solve the complex nonlinear problem, which significantly reduces energy consumption in different setups. Worst-case sensitivity analyses ensure the reliability and efficiency of the proposed robust model.
JOURNAL OF INTELLIGENT MANUFACTURING
(2021)
Article
Energy & Fuels
Gianluca Serale et al.
Summary: Artificial lighting systems in commercial greenhouses are crucial for year-round yields, but extending these systems over large areas with high power densities can lead to significant energy demands. An innovative control strategy presented in this study aims to optimize the energy performance of greenhouse lighting systems, potentially achieving cost savings of 19.4%.
Article
Agriculture, Multidisciplinary
Lili Gao et al.
Summary: This study successfully modeled daily ETo using three hybrid ANN models, with the radiation-based WOA-ANN offering the most accurate ETo estimations. These models provide reliable tools for accurately estimating ETo with limited inputs, offering practical implications for the development of precision agriculture.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2021)
Article
Energy & Fuels
Laila Ouazzani Chahidi et al.
Summary: Plants require a specific environment to grow and greenhouse cultivation is a suitable agricultural technique to create and control the microclimate for plant growth. Predicting greenhouse variables using artificial intelligence methods is of great interest for intelligent control and reducing losses. Good performance of machine learning models in predicting greenhouse variables affirms the importance of this approach for improving greenhouse efficiency.
Article
Chemistry, Applied
Qi Kong et al.
Summary: The study successfully prepared biodegradable phase change materials with high latent heat by grafting acrylic acid onto starch, which effectively increased the latent heat of PCM, as well as the water retention and biodegradation rate.
Article
Forestry
Alexander Egorov et al.
Summary: The spread of bryophytes poses a significant problem when growing containerized coniferous seedlings, requiring a complex control programme involving physiologically active substances. Russian nurseries have recently started to face this issue, but effective control can be achieved through the use of certain herbicides.
Article
Agriculture, Multidisciplinary
Ruyue Cao et al.
Summary: This study focused on task assignment of multiple agricultural machinery cooperation using an improved ant colony algorithm in farmland operation. Simulation results showed that the improved algorithm effectively reduced path costs, shortened average operation cycles, avoided overload and idle of some agricultural machinery, and solved some issues in task assignment.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2021)
Article
Environmental Sciences
Ruhollah Taghizadeh-Mehrjardi et al.
Summary: This study developed a series of hybridized artificial neural network models incorporating bio-inspired optimization algorithms for predicting soil particle size fractions in Mazandaran Province, Iran. The results showed that the MBO-ANN approach outperformed other methods, significantly reducing errors and uncertainties in predictions.
Article
Chemistry, Multidisciplinary
Davide Facchinetti et al.
Summary: Incorrect pesticide use in plant protection can pose risks to health and the environment, but the application of artificial intelligence techniques can help reduce these negative impacts. By using a small vehicle designed for greenhouse environments to carry out treatments, it is possible to significantly reduce pesticide usage while ensuring excellent crop coverage.
APPLIED SCIENCES-BASEL
(2021)
Article
Immunology
Eleni Gavriilaki et al.
Summary: This study identified genetic susceptibility in severe COVID-19 patients, particularly in relation to ADAMTS13 and other complement-related variants, which were associated with ICU hospitalization. The findings suggest a specific patient population that may benefit from early initiation of targeted treatment.
CLINICAL IMMUNOLOGY
(2021)
Article
Engineering, Multidisciplinary
Laith Abualigah et al.
Summary: The Arithmetic Optimization Algorithm (AOA) is a new meta-heuristic method that makes use of the distribution behavior of arithmetic operators, demonstrating promising results in solving challenging optimization problems across various search spaces.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2021)
Article
Chemistry, Multidisciplinary
Chandrakanta Mahanty et al.
Summary: This study used chest X-ray images to identify COVID-19 patients and proposed a method that combined fuzzy ensemble techniques, outperforming other techniques and ensemble methods with higher accuracy.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Multidisciplinary
Mohamed Esmail Karar et al.
Summary: This research introduces a new mobile application that uses deep learning to automatically classify pests and provides recommendations for pesticides, achieving a high recognition accuracy using Faster R-CNN. The study aims to develop an online recognition tool for agricultural pests in open fields and greenhouses to support farmers and specialists.
ALEXANDRIA ENGINEERING JOURNAL
(2021)
Article
Plant Sciences
Shirin Afzali et al.
Summary: Global population growth has increased food production challenges, leading agricultural systems to adopt IoT technology. A new optimal supplemental lighting approach was developed in this study, which minimized electricity cost by leveraging sunlight prediction and plant light needs. Experimental results showed cost reduction in winter and spring studies, while maintaining crop growth.
Review
Automation & Control Systems
Jun Tang et al.
Summary: Swarm intelligence algorithms are a subset of artificial intelligence that has gained popularity for solving optimization problems and has been widely utilized in various applications. This review summarizes the most representative swarm intelligence algorithms and their successful applications in engineering fields, providing insights into future trends and prospects for development.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
(2021)
Article
Development Studies
Sacha Ruzzante et al.
Summary: This study investigates factors influencing adoption of agricultural technologies across different contexts. Variables such as farmer education, household size, land size, access to credit, and organization membership are positively correlated with adoption. However, determinants vary widely by technology, cultural context, and geography, suggesting a need for tailored approaches to promote agricultural technologies in the developing world.
Review
Chemistry, Analytical
Eduardo Navas et al.
Summary: This review provides an in-depth look at the use of soft end-effectors in agricultural applications, with a special focus on robotic harvesting. It analyzes the current state of automatic picking tasks for various crops, identifies crops lacking automatic solutions, and discusses methods commonly used based on the botanical characteristics of the fruits.
Article
Agronomy
Catello Pane et al.
Summary: The study identified the fungal pathogen Erysiphe cruciferarum as the cause of powdery mildew on wild rocket leaves. It introduced a non-destructive digital approach utilizing hyperspectral image analysis and a machine-learning model to accurately detect the disease on affected leaves. The research highlighted shifts in chlorophyll a absorption in the blue spectrum range as the basis for hyperspectral imaging detection of wild rocket powdery mildew.
Article
Agronomy
Dilip Kumar Roy et al.
Summary: This study evaluates and compares the performances of different hybridized ANFIS models for predicting daily ET0, with the FA-ANFIS identified as the best performing model. The findings are significant for effective irrigation scheduling in areas with similar climatic conditions.
AGRICULTURAL WATER MANAGEMENT
(2021)
Article
Agriculture, Multidisciplinary
Li-Wei Liu et al.
Summary: The study used rice growth data from different climate regions in Taiwan to simulate rice growth rate using regression algorithm, artificial neural networks, and gene-expression programming. It was found that artificial intelligence-based nonlinear models were more accurate than the regression model, with artificial neural networks performing the best.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2021)
Article
Energy & Fuels
Piotr Golasa et al.
Summary: The relationship between agriculture and climate change is complex, with agriculture being both heavily impacted by climate change and a major emitter of greenhouse gases. A study based on FADN data aimed to analyze greenhouse gas emissions in farms and identify areas for emission reduction, highlighting livestock production as a significant source of emissions compared to energy production. Efforts to reduce emissions should focus on livestock production rather than energy use, except for certain types of farms such as horticultural ones where energy emissions are dominant.
Article
Agronomy
Xuelian Jiang et al.
Summary: Deficit irrigation significantly affects grape yield and fruit quality, with fruit quality being more sensitive during the veraison stage. Linear relationships were found between relative seasonal ET deficit and a decrease in yield, berry quality parameters, and overall fruit quality index. Deficit irrigation can improve water use efficiency and net income, with optimal treatment recommended at certain growth stages for higher quality, efficiency, and income.
IRRIGATION AND DRAINAGE
(2021)
Article
Computer Science, Artificial Intelligence
Hooman Harandizadeh et al.
Summary: This research focused on developing a novel hybrid intelligent system, ANFIS-PNN-ICA, for predicting TBM performance. Through comparative studies, it was found that the ANFIS-PNN-ICA model outperformed the ANFIS and PNN models in terms of predictive capacity.
NEURAL COMPUTING & APPLICATIONS
(2021)
Article
Multidisciplinary Sciences
Florenta-Elena Helepciuc et al.
Summary: By adopting the 2009 pesticide package, the EU proposed a common approach to limiting the harmful effects of pesticides, but recent evaluations showed limited success in achieving its goals. There are differences in the actions and indicators chosen by each EU Member State, leading to a limited homogenization of approaches and measures to improve pesticide sustainability.
Article
Agriculture, Multidisciplinary
Svenja Mohr et al.
Summary: The study investigates the acceptance of AI systems in agriculture using the technology acceptance model and theory of planned behavior. Results show that perceived behavioral control and personal attitude are the most influential factors, explaining 59% of acceptance variance. Several options and implications on increasing the acceptance of AI systems in agriculture are discussed.
PRECISION AGRICULTURE
(2021)
Article
Green & Sustainable Science & Technology
Yasmine Achour et al.
Summary: The paper provides an overview of recent technological advances in modern greenhouses, focusing on hardware design, environmental monitoring, dynamics modeling, microclimate control, energy optimization, green energy integration, and storage systems implementation. Research and development projects in the past 5 years have shown significant interest in favor of greenhouse crops sector and renewable energies such as solar and geothermal are widely used as environmentally friendly solutions.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Chemistry, Analytical
Pisana Placidi et al.
Summary: A low power wireless sensor network based on LoRaWAN protocol was designed for IoT low-cost Precision Agriculture applications, with emphasis on greenhouse sensing and actuation. Using commercial components and free or open-source software libraries, the system demonstrated feasibility of modular design with cheap off-the-shelf components. The reliability of the system was proven in experiments with two natural soils, showcasing good agreement with reference sensors for temperature and innovative adjustment methods for the low-cost VWC sensor.
Article
Chemistry, Analytical
Gaia Codeluppi et al.
Summary: The paper examines the design of a Neural Network-based prediction model for greenhouse internal air temperature, evaluating the performance of different NN architecture types. The results indicate that the model based on ANN performs the best, with low complexity and good prediction performance, making it feasible for deployment on edge devices.
Article
Computer Science, Artificial Intelligence
Samad Emamgholizadeh et al.
Summary: This study introduces a new hybrid model, SVM-PSOIWO, for estimating soil CEC, which outperforms other models in estimating CEC accurately. By using physical and chemical data of soil, the model's accuracy was validated, providing a new approach for soil research.
Article
Ecology
Larissa Raatz et al.
Summary: Semi-natural habitats are decreasing in modern agricultural landscapes, potentially impacting crop production. Research suggests that weed cover has a negative correlation with crop yield, while fungal and insect pests do not significantly affect yield.
ECOLOGY AND EVOLUTION
(2021)
Article
Engineering, Electrical & Electronic
Wenxian Jia et al.
Summary: Smart sensor networks have wide application prospects in agriculture due to their low cost, low power consumption, real-time capabilities, and strong adaptability. Balancing node energy consumption and extending network life are important considerations in efficient routing design. The intelligent sensor network clustering algorithm based on adaptive chaotic ant colony optimization (ACACO) proposed in this paper shows advantages over genetic algorithm (GA) and particle swarm optimization (PSO) in addressing energy constraints.
JOURNAL OF SENSORS
(2021)
Article
Chemistry, Multidisciplinary
Nugun P. Jellason et al.
Summary: Agriculture 4.0, the fourth agricultural revolution, involves the application of smart technologies to enhance agriculture and food production sustainability. Sub-Saharan Africa's position in this new technology trajectory is critically assessed, revealing both challenges and opportunities for adopting Agriculture 4.0 technologies in the region.
APPLIED SCIENCES-BASEL
(2021)
Review
Chemistry, Multidisciplinary
Chrysanthos Maraveas et al.
Summary: The application of artificial intelligence in fire safety of agricultural structures has practical economic and technological benefits for commercial agriculture, but its use in real farm environments is limited. The future prospects of AI in agriculture extend beyond basic fire safety to encompass concepts such as Society 5.0, energy systems in smart cities, UAV monitoring, Agriculture 4.0, and decentralized energy, but critical challenges in health, safety, cost, and reliability must be overcome.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Information Systems
Abdu Salam et al.
Summary: Farming has been the major profession in several republics for centuries, but is now facing hindrances due to rural to urban migration. The use of modern technology in precision agriculture can increase productivity and enhance a country's exports, but timely identification of affected areas is crucial.
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
(2021)
Article
Agronomy
Maria Teresa Linaza et al.
Summary: One of the main challenges for implementing artificial intelligence in agriculture is its low replicability and difficulty in systematic data gathering due to different field conditions. However, by comparing pilot experiments in various fields, collective knowledge can be enhanced. Current research activities focus on European countries, aiming to present achieved results, ongoing investigations, and technical challenges.
Article
Agronomy
Jose-Ramon Aira et al.
Summary: This article examines the feasibility of integrating semi-transparent photovoltaic glass into a greenhouse, finding that its impact on horticultural production is acceptable, and energy balance indicates the greenhouse is completely feasible and self-sufficient.
Proceedings Paper
Computer Science, Interdisciplinary Applications
Massimiliano Proietti et al.
Summary: This paper introduces a methodology to control greenhouse operations based on deep learning, utilizing Artificial Intelligence algorithms on edge devices for anomaly detection in plants growth and greenhouse equipment, ensuring privacy and efficient decision-making. The Long-Short Time Memory Encoder-Decoder architecture is used for greenhouse anomaly detection, with optimal performance achieved using one LSTM layer and 64 LSTM units.
PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON SMART CITIES AND GREEN ICT SYSTEMS (SMARTGREENS)
(2021)
Article
Engineering, Multidisciplinary
Dora Cama-Pinto et al.
Summary: Precision agriculture and smart farming, related to the Internet of Things (IoT), are crucial concepts for sustainable and efficient agriculture to meet future demands. Deployment of sensor networks is necessary for monitoring agricultural variables and integrating spatial and temporal data.
Article
Computer Science, Information Systems
Iman Rahimi et al.
Summary: This report analyzes the COVID-19 outbreak in Australia, Italy, and the UK, proposing mathematical models for epidemiological predictions and optimization algorithms to improve the forecasting capabilities of SIR and SEIQR models. The results show the effectiveness of the optimized models compared to machine learning algorithms like the Prophet algorithm and logistic function, with the Prophet algorithm showing better prediction performance for Italy and the UK cases.
Article
Computer Science, Artificial Intelligence
Junhu Ruan et al.
NEURAL COMPUTING & APPLICATIONS
(2020)
Article
Entomology
Beatriz Dader et al.
Article
Agriculture, Multidisciplinary
Pouya Aghelpour et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2020)
Article
Entomology
Erdem Solmaz et al.
INTERNATIONAL JOURNAL OF ACAROLOGY
(2020)
Review
Green & Sustainable Science & Technology
E. Iddio et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2020)
Article
Green & Sustainable Science & Technology
Rim Ben Ali et al.
Article
Ecology
Loris Nanni et al.
ECOLOGICAL INFORMATICS
(2020)
Article
Horticulture
Bing-Jing Cui et al.
SCIENTIA HORTICULTURAE
(2020)
Review
Energy & Fuels
Chiara Bersani et al.
Article
Remote Sensing
Hasituya et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2020)
Article
Green & Sustainable Science & Technology
Saeed Mirzamohammadi et al.
JOURNAL OF CLEANER PRODUCTION
(2020)
Article
Green & Sustainable Science & Technology
Mahdy Elsayed et al.
JOURNAL OF CLEANER PRODUCTION
(2020)
Article
Agricultural Engineering
Jaafar Abdulridha et al.
BIOSYSTEMS ENGINEERING
(2020)
Article
Multidisciplinary Sciences
A. L. Burrell et al.
NATURE COMMUNICATIONS
(2020)
Article
Chemistry, Physical
Shasha Lu et al.
Article
Environmental Sciences
Rafael Jimenez-Lao et al.
Review
Green & Sustainable Science & Technology
Tri-Hai Nguyen et al.
Article
Green & Sustainable Science & Technology
Na Lin et al.
JOURNAL OF CLEANER PRODUCTION
(2020)
Proceedings Paper
Education, Scientific Disciplines
Reza Rahmadian et al.
2020 THIRD INTERNATIONAL CONFERENCE ON VOCATIONAL EDUCATION AND ELECTRICAL ENGINEERING (ICVEE): STRENGTHENING THE FRAMEWORK OF SOCIETY 5.0 THROUGH INNOVATIONS IN EDUCATION, ELECTRICAL, ENGINEERING AND INFORMATICS ENGINEERING
(2020)
Proceedings Paper
Computer Science, Information Systems
Samuel A. Aytenfsu et al.
PROCEEDINGS OF THE 2020 FOURTH WORLD CONFERENCE ON SMART TRENDS IN SYSTEMS, SECURITY AND SUSTAINABILITY (WORLDS4 2020)
(2020)
Article
Green & Sustainable Science & Technology
Jaesu Lee et al.
Review
Green & Sustainable Science & Technology
Shanhong Zhang et al.
JOURNAL OF CLEANER PRODUCTION
(2020)
Article
Computer Science, Information Systems
Ching-Ju Chen et al.
Article
Entomology
S. A. El Arnaouty et al.
EGYPTIAN JOURNAL OF BIOLOGICAL PEST CONTROL
(2020)
Article
Engineering, Civil
Lifeng Wu et al.
JOURNAL OF HYDROLOGY
(2019)
Article
Computer Science, Interdisciplinary Applications
Seyedali Mirjalili et al.
ADVANCES IN ENGINEERING SOFTWARE
(2017)
Article
Multidisciplinary Sciences
Geert Litjens et al.
SCIENTIFIC REPORTS
(2016)
Article
Computer Science, Interdisciplinary Applications
Seyedali Mirjalili et al.
ADVANCES IN ENGINEERING SOFTWARE
(2014)
Article
Computer Science, Interdisciplinary Applications
Xin-She Yang et al.
ENGINEERING COMPUTATIONS
(2012)
Article
Computer Science, Interdisciplinary Applications
Amir Hossein Gandomi et al.
COMPUTERS & STRUCTURES
(2011)
Article
Computer Science, Artificial Intelligence
I Kononenko
ARTIFICIAL INTELLIGENCE IN MEDICINE
(2001)
Article
Energy & Fuels
SA Kalogirou
