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Relevant bibliographies by topics / Plant Care Automation

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Academic literature on the topic 'Plant Care Automation'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Plant Care Automation"

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Kiryanov, A. A., S. B. Benevolensky, and I. K. Belchenko. "Automation of plant care processes based on machine vision technology." Innovatics and Expert Examination, no. 2(32) (December 22, 2021): 151–60. http://dx.doi.org/10.35264/1996-2274-2021-2-151-160.

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This paper presents the results of developments for a robotic agrotechnical complex capable of performing work in the open ground and in greenhouse conditions. Algorithmic solutions and the developed software in the development under consideration include separate blocks that implement the necessary functional options for data collection and analysis of the mineral and biological composition of the soil substrate, its humidity, electrical conductivity and temperature, for data collection and analysis of crop morbidity and vegetation progress. The software and hardware complex using a mobile se

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Abidin, Irfan, Sitti Nur Faridah, Muhammad Tahir Sapsal, Samsuar Samsuar, and Husnul Mubarak. "Automation of humidity in the greenhouses for plant cultivation." BIO Web of Conferences 96 (2024): 04004. http://dx.doi.org/10.1051/bioconf/20249604004.

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Greenhouse is a building formed to protect and care for plants from various kinds of weather and pests on plants. In addition, greenhouses also function to manipulate and control environmental conditions so that the conditions needed for plant growth are met. Air humidity is one of the environmental conditions that affect plant growth and can be controlled by automatic fogging so that plants can grow optimally. This research aims to produce an atomization system and maintain air humidity in the greenhouse automatically. The use of this research is as an information material for farming communi

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Goudicherla, Chinmayi Srija, Sri Manvitha Reddy L., Sreekala K., Poornima Ms.P., Sulthana Mrs.Musrat, and A. Nagesh Dr. "PLANT BLOOM – A guide for all plant care needs." Research and Applications of Web Development and Design 8, no. 3 (2025): 1–9. https://doi.org/10.5281/zenodo.15429449.

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<em>This web application</em><em> is intended for plant enthusiasts, amateur gardeners, and anyone else who wants to get better at taking care of plants. It serves as a user-friendly digital assistant that simplifies the maintenance of a variety of plants. Users can select plant types from an integrated database that contains a wealth of technical information, including recommended soil types, ideal growth circumstances, watering frequency, light exposure needs, and suitable temperature ranges. The goal is to empower users to make informed decisions that will ensure plants develop in a sustain

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Branovskyi, V. V., and Z. R. Mychuda. "DEVELOPMENT OF AN AUTOMATED PLANT CARE MANAGEMENT SYSTEM." Computer systems and network 7, no. 1 (2025): 37–46. https://doi.org/10.23939/csn2025.01.037.

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The article is devoted to the development of an automated care system for indoor plants based on the use of an Arduino microcontroller and IoT technologies. The system contains soil moisture, temperature, and light sensors that monitor the main environmental parameters for effective plant care. The structural and schematic diagrams and algorithm of the system were developed. A prototype of the system was implemented. The prototype of the system was tested in real conditions, which confirmed the correctness of the decisions made, as well as the efficiency and usability of the system. It was fou

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Kulіnchenko, Heorhіi, Andrii Panych, Petro Leontiev, and Viacheslav Zhurba. "Simulation of the expander of the excess gas pressure utilization plant." ScienceRise, no. 3 (June 30, 2022): 3–13. http://dx.doi.org/10.21303/2313-8416.2022.002545.

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The object of research: The expander of the excess gas pressure utilization plant. Investigated problem: Increasing the efficiency of the process of utilization of excess gas pressure during its distribution from main high-pressure gas pipelines. Development of hardware and software tools that provide automation of the process of regulating flow parameters under the influence of time-varying disturbances. The main scientific results: A mathematical model of the process of utilization of excess gas pressure has been developed, and an experimental assessment of its adequacy has been

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Shaikh, Arin. "A Smart Plant Monitoring System Using Arduino." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 3569–73. https://doi.org/10.22214/ijraset.2025.68990.

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Abstract: In recent years, the integration of automation and IoT technologies in agriculture has gained significant attention for improving resource efficiency, sustainability, and productivity. This paper presents a Smart Plant Monitoring System using Arduino, designed to automate irrigation and enhance plant care by continuously monitoring soil moisture, temperature, and humidity levels. The system employs an Arduino Uno microcontroller, soil moisture sensor, DHT11 temperature & humidity sensor, relay module, LCD display, and water pump to develop an intelligent irrigation system. Experi

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Capcha-Ochoa, Justin M. A., Jefferson A. Chahua-Benito, Miguel A. Serafin-Cayllahua, et al. "Smart Irrigation System with IoT, Machine Learning, and Solar Power for Efficient Plant Care." Emerging Science Journal 9, no. 3 (2025): 1346–71. https://doi.org/10.28991/esj-2025-09-03-012.

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Efficient irrigation in green areas and homes is essential for environmental sustainability and water conservation. This study aims to develop an intelligent irrigation system based on the Internet of Things (IoT) and machine learning to optimize water use, improve plant monitoring, and enhance security. Two ESP32 microcontrollers and an ESP32-CAM were deployed to manage humidity, temperature, light sensors, and irrigation automation using a solenoid valve. A modified Yolov3-tiny model detects signs of dehydration and chlorosis in plants, while facial recognition restricts access to authorized

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Muchlasin, Muhammad, Muhammad Hasbi, and Sri Siswanti. "Decision Tree Method for Automation of Plant Sprinklers and Monitoring Based On Soil Moisture." Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) 12, no. 1 (2023): 25–32. http://dx.doi.org/10.23887/janapati.v12i1.59075.

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Watering the plants is an important part of plant care, but due to our busy schedules, we frequently forget to do it. It can be caused by a number of variables, including the weather, in addition to human irresponsibility. The goal of this research is to develop a device that can automatically water plants and monitor plants based on soil moisture. Automatic sprinklers that use NodeMCU ESP8266 and Telegram bots employ the decision tree approach. The C 4.5 algorithm is used by the Decision Tree approach to choose the microcontroller's course of action. The value of various case studies utilized

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Sandeep G. Shukla, Aman H. Bagga, Taher Y. Talwala, Kashish H. Sablok, and Kalyani V. Sathe. "Smart Robotic Rover for Urban Gardening." International Research Journal on Advanced Engineering Hub (IRJAEH) 3, no. 03 (2025): 820–24. https://doi.org/10.47392/irjaeh.2025.0115.

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Urban gardening is important for sustainable city living, but it faces challenges, especially in managing resources and plant care. The “Smart Robotic Rover for Urban Gardening” project aims to solve these issues by developing a robotic system that makes gardening easier and more efficient. This rover automates four key tasks: fertilization, irrigation, cleaning, and seeding, helping to save resources and improve plant health. To achieve this, the rover uses modern technology and automation. It has camera sensors for fertilization and irrigation, which detect plants and apply the right amount

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Kittur, Shivani, Anupama S. Nandeppanavar, Medha Kudari, and Laxmi Pujari. "Automation of Dairy Farm for Effective Cattle Management." Journal of Web Development and Web Designing 7, no. 3 (2022): 27–31. http://dx.doi.org/10.46610/jowdwd.2022.v07i03.004.

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Dairy farming is a branch of agriculture for long-term milk production. Dairy farming is playing a large position in growing countries. Milk and milk products are gaining huge demand. So the need for quality milk is increased. Dairy farms should adopt good practices like milking hygiene, animal health, nutrition, etc. Thus Automated Dairy Farm application is developed to support the need and challenges of “Vijaykant Dairy and Food Products”. Milking is the main activity of dairy farming. The milk is processed at the farm or at a dairy plant, which intern supports the sale of a dairy product. F

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Books on the topic "Plant Care Automation"

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Lipták, Béla G. Automation can prevent the next Fukushima. International Society of Automation, 2014.

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United States. General Accounting Office. Accounting and Information Management Division, ed. Financial management: Information on agencies' fiscal year 1997 and 1998 FFMIA remediation plans. The Office, 2000.

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Morrow, Helen Smith. COMPUTERIZED NURSING CARE PLANS FOR LONG TERM CARE (AUTOMATION, PATIENT). 1985.

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Clark, Daniel J. Disruption in Detroit. University of Illinois Press, 2018. http://dx.doi.org/10.5622/illinois/9780252042010.001.0001.

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It is conventional wisdom that because of lucrative contracts negotiated by the United Auto Workers (UAW) under Walter Reuther's leadership, most autoworkers in the U.S. enjoyed steady work, increasing wages, and improved benefits in the postwar boom following World War II. In short, autoworkers entered the middle class. In contrast, this book argues that for Detroit autoworkers there was no postwar boom. Instead, the years from 1945 to 1960 were dominated by job instability and economic insecurity. This argument is based largely on oral history interviews and research in local newspapers, whi

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Jiménez, Catalina, Julen Requejo, Miguel Foces, Masato Okumura, Marco Stampini, and Ana Castillo. Silver Economy: A Mapping of Actors and Trends in Latin America and the Caribbean. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003237.

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Latin America and the Caribbean, unlike other regions, is still quite young demographically: people over age 60 make up around 11% of the total population. However, the region is expected to experience the fastest rate of population aging in the world over the coming decades. This projected growth of the elderly population raises challenges related to pensions, health, and long-term care. At the same time, it opens up numerous business opportunities in different sectorshousing, tourism, care, and transportation, for examplethat could generate millions of new jobs. These opportunities are terme

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Book chapters on the topic "Plant Care Automation"

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Karthiga, M., P. Dhivya, S. S. Nandhini, and V. Santhi. "Robotic Assistants from Personalized Care to Disease Diagnosis and Treatment Plans in Healthcare Applications." In Computational Intelligence in Robotics and Automation. CRC Press, 2022. http://dx.doi.org/10.1201/9781003181668-2.

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Ancona, Massimo, Walter Cazzola, Sonia Pini, and Marco Frascio. "The Health Care Factory." In Pharmacoinformatics and Drug Discovery Technologies. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0309-7.ch012.

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The Health Care Factory is the proposal of a highly integrated system designed with the aim of improving the overall healthcare process management and of obtaining a flexible and deeper understanding of the patient treatment mechanisms. The Health Care Factory is based on a software/hardware infrastructure designed for modeling the healthcare problem—including ubiquitous laboratory automation, miniaturized, and lab-on-a-chip devices management, local (i.e., in the hospital), and remote (telemedicine) patient health control—like an integrated large, real-time, ubiquitous, and distributed discre

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Mansour, Ahmed Elsayed, Yasmin Alkady, Walaa H. Elashmawi, Magdy Elbahnasaw, and Tamer Shamseldin. "Revolutionizing Farming With Agriculture 4.0." In Precision and Intelligence in Agriculture. IGI Global, 2025. https://doi.org/10.4018/979-8-3373-5283-1.ch003.

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The emergence of Agriculture 4.0 signifies a pivotal transformation in farming, driven by the adoption of advanced technologies to address essential issues like global food security, environmental sustainability, and climate resilience. This chapter explores deeply the foundational technologies underpinning Agriculture 4.0, including the Internet of Things (IoT), Artificial Intelligence (AI), robotics, big data analytics, and automation. These innovations collectively redefine agricultural methodologies, enhancing efficiency, precision, and sustainability. Furthermore, this chapter presents a

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Laxmanrao Ramteke, Prabhakar. "Impact of Automation, Artificial Intelligence and Deep Learning on Agriculture Crop Yield." In Research Trends in Artificial Intelligence: Internet of Things. BENTHAM SCIENCE PUBLISHERS, 2023. http://dx.doi.org/10.2174/9789815136449123010005.

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Every nation is concerned about the growing problem of agriculture automation. It is challenging to supply the food needs of the existing population due to rising numbers, frequent climate change, and scarce resources. Farmers are forced to wreak havoc on the land by applying dangerous pesticides more often since their old techniques cannot keep up with the growing demand. As a result, agricultural practices are significantly impacted, and the land gradually loses its fertility and becomes unproductive. The agriculture sector can benefit from technology like Artificial Intelligence (AI), deep

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Laleci Erturkmen Gokce Banu, Yuksel Mustafa, Sarigul Bunyamin, Lilja Mikael, Chen Rong, and Arvanitis Theodoros N. "Personalised Care Plan Management Utilizing Guideline-Driven Clinical Decision Support Systems." In Studies in Health Technology and Informatics. IOS Press, 2018. https://doi.org/10.3233/978-1-61499-852-5-750.

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Older age is associated with an increased accumulation of multiple chronic conditions. The clinical management of patients suffering from multiple chronic conditions is very complex, disconnected and time-consuming with the traditional care settings. Integrated care is a means to address the growing demand for improved patient experience and health outcomes of multimorbid and long-term care patients. Care planning is a prevalent approach of integrated care, where the aim is to deliver more personalized and targeted care creating shared care plans by clearly articulating the role of each provid

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Pandiri, Lahari. "Navigating the complexities of modern health insurance plans, networks, and policies." In The Complete Compendium of Digital Insurance Solutions: Life, Health, Auto, Property, and Specialized Coverage in the Age of AI, Automation, and Intelligent Risk Management. Deep Science Publishing, 2025. https://doi.org/10.70593/978-81-988918-0-8_5.

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Health insurance is a type of insurance coverage that pays for medical and surgical expenses incurred by the insured. It can also provide coverage for non-medical expenses such as lost wages or funeral expenses, which are related to an illness or injury. An employer may arrange the insurance plan for an employee benefit, as part of a collective bargaining agreement. Individuals may purchase insurance or a family may be covered by a family plan. Insurance plans typically include a premium, a deductible, copayments and coinsurance. Health insurance can cover a portion of the cost of prescription

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Brown, Michelle R., Jody Chrastek, and Kris Catrine. "Team Relationships." In Interdisciplinary Pediatric Palliative Care, edited by Joanne Wolfe, Pamela S. Hinds, and Barbara M. Sourkes. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780190090012.003.0011.

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Palliative care is a team endeavor. Through teamwork, palliative care uniquely tailors care plans to the needs of children impacted by complex illnesses and their families. The creation, growth, and sustainability of highly functional teams are not automatic. Team relationships are influenced by the inherent structure and composition of team members, and optimal team functioning requires attention to team dynamics. In this chapter, core team processes that support team functioning are defined (e.g., cognition, collaboration, coaching, communication) and their bidirectional impact on relational

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Ognjanovic, Ivana. "Artificial Intelligence in Healthcare." In Studies in Health Technology and Informatics. IOS Press, 2020. http://dx.doi.org/10.3233/shti200677.

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Modern technology development created significant innovations in delivery of healthcare. Artificial intelligence as “a branch of computer science dealing with the simulation of intelligent behaviour in computers” when applied in health care resulted in intelligent support to decision-making, optimised business processes, increased quality, monitoring and delivering of personalised treatment plans and many other applications. Even though the benefits are clear and numerous, there are still open issues in creating automation of healthcare processes, ensuring data protection and integrity, reduct

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Vetrivel, S. C., V. P. Arun, K. C. Sowmiya, and V. Sabareeshwari. "Personalized Healthcare in the Era of E-Business 5.0." In Advances in E-Business Research. IGI Global, 2024. http://dx.doi.org/10.4018/978-1-6684-7840-0.ch010.

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In the dynamic landscape of modern healthcare, the convergence of E-Business 5.0 and big data is unlocking unprecedented opportunities for personalized medicine. This chapterexplores the transformative potential of E-Business 5.0, characterized by enhanced connectivity, artificial intelligence, and automation, in redefining patient-centered care through the utilization of vast data sets. The chapter examine how big data technologies, including data mining, machine learning, and predictive analytics, are enabling healthcare professionals to offer tailored treatment plans, improve diagnosis accu

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Pandiri, Lahari. "Enhancing quality of life through comprehensive dental and vision insurance benefits." In The Complete Compendium of Digital Insurance Solutions: Life, Health, Auto, Property, and Specialized Coverage in the Age of AI, Automation, and Intelligent Risk Management. Deep Science Publishing, 2025. https://doi.org/10.70593/978-81-988918-0-8_6.

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People enjoy a better quality of life and greater productivity through improved health, supported by advancement and greater accessibility of early diagnostic services in the areas of health and vision. Quality of life is also inherently tied to other factors, including income, workplace safety, health, family, and social networks. Fortunately, many individuals have access to health and vision plans through employer-sponsored offerings or through the government. About half of individuals in the United States receive health insurance benefits through their employers, while only a small percenta

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Conference papers on the topic "Plant Care Automation"

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T K, Rakshitha, and Chaitra C. "Innovative Solutions for Plant Care: An Automatic Water Pump System." In 2024 10th International Conference on Electrical Energy Systems (ICEES). IEEE, 2024. https://doi.org/10.1109/icees61253.2024.10776862.

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Wagner, Nikolaus, and Grzegorz Cielniak. "Mass Estimation of Soft Fruit via Oscillatory Plant Dynamics." In 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). IEEE, 2024. http://dx.doi.org/10.1109/case59546.2024.10711606.

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Choi, Taeyeong, Dario Guevara, Zifei Cheng, et al. "DAVIS-Ag: A Synthetic Plant Dataset for Prototyping Domain-Inspired Active Vision in Agricultural Robots." In 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). IEEE, 2024. http://dx.doi.org/10.1109/case59546.2024.10711368.

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Stracca, Elena, Alessandro Palleschi, Lucia Pallottino, and Paolo Salaris. "Plan it Safe: A Risk-Driven Motion Planning Framework for Collaborative Robots." In 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). IEEE, 2024. http://dx.doi.org/10.1109/case59546.2024.10711449.

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Patel, Rutvik, Alec Kanyuck, Zachary McNulty, et al. "Automated Plan Refinement for Improving Efficiency of Robotic Layup of Composite Sheets." In 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). IEEE, 2024. http://dx.doi.org/10.1109/case59546.2024.10711801.

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Bonetti, Alessandro, Silvia Proia, Simone Guidetti, and Lorenzo Sabattini. "AGV Traffic Management in Automated Industrial Plants: An Enhanced Lifelong Multi-Agent Path Finding Approach." In 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). IEEE, 2024. http://dx.doi.org/10.1109/case59546.2024.10711842.

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Liu, Yang, Liang Ma, and Yang Yang. "Optimization for Track Utilization at Urban Rail Transit RollingStock Base Based on Maintenance and Operation Plans ^*." In 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). IEEE, 2024. http://dx.doi.org/10.1109/case59546.2024.10711388.

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Pajak, Emma, Abdullah Bahamdan, Klaus Hellgardt, and Antonio�del R�o-Chanona. "Multi-Agent LLMs for Automating Sustainable Operational Decision-Making." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.156776.

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Operational decision-making in Process Systems Engineering (PSE) has achieved high proficiency at specific levels, such as supply chain optimization and unit-operation optimization. However, a critical challenge remains: integrating these layers of optimization into a cohesive, hierarchical decision-making framework that enables sustainable and automated operations. Addressing this challenge requires systems capable of coordinating multi-level decisions while maintaining interpretability and adaptability. Multi-agent frameworks based on Large Language Models (LLMs) have demonstrated significan

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Killough, Angie, Anais Barja, and Hakan Gurocak. "Smart Flowerpot as an IoT Device for Automatic Plant Care." In 2024 10th International Conference on Automation, Robotics and Applications (ICARA). IEEE, 2024. http://dx.doi.org/10.1109/icara60736.2024.10552954.

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Semwal, V. B., S. A. Katiyar, P. Chakraborty, and G. C. Nandi. "Biped model based on human Gait pattern parameters for sagittal plane movement." In 2013 International Conference on Control, Automation, Robotics and Embedded Systems (CARE). IEEE, 2013. http://dx.doi.org/10.1109/care.2013.6733750.

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Reports on the topic "Plant Care Automation"

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Paynter, Robin A., Gaelen P. Adam, Allison Hedden-Gross, Claire Twose, and Christiane Voisin. Systematic Review Search Strategy Development Tools: A Practical Guide for Expert Searchers. Agency for Healthcare Research and Quality (AHRQ), 2025. https://doi.org/10.23970/ahrqepcwhitepapersearch.

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Background. The explosive growth in the number of original biomedical research publications and subsequent systematic reviews has driven the increase in the number of software tools created to automate many of the processes involved in the conduct of systematic reviews, particularly search strategy design and execution. However, this growth in software tools has not been accompanied by a systematic approach for providing expert review of these tools and their utility in supporting search strategy development. Objectives. Our goal was to provide practical guidance and information about automati

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Ethical impact assessment. A tool of the Recommendation on the Ethics of Artificial Intelligence. UNESCO, 2023. http://dx.doi.org/10.54678/ytsa7796.

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The Recommendation on the Ethics of AI provides a framework to ensure that AI developments align with the promotion and protection of human rights and human dignity, environmental sustainability, fairness, inclusion and gender equality. It underscores that these goals and principles should inform technological developments in an ex-ante manner. To support effective implementation, UNESCO developed two instruments, the Readiness Assessment Methodology (RAM) and the Ethical Impact Assessment (EIA). The EIA is proposed to procurers of AI systems, as this is one of the main channels in which algor

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