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Journal articles on the topic 'Plant Care Automation'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

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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Dave, B. Buragay, Emmanuel M. Escalona Lance, Ashley B. Aniag Louie, Tarhata R. Laja Putli, and Mae T. Escober Krisnelle. "The Use of Soil Moisture Sensors and Arduino Interface to Create and Automatic Watering Device for Houseplants." International Journal for Research Trends and Innovation 9, no. 4 (2024): 1099–108. https://doi.org/10.5281/zenodo.11082209.

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The COVID-19 pandemic is associated with an upturn toward home gardening as a relaxing activity, bringing a sense of peace and proximity to nature during the quarantine measures. Subsequently, after COVID-19, irregular watering patterns become a threat that houseplants face. They are poisoned by root rot from overwatering or dehydration from underwatering. To solve this problem, this study introduces an Automatic Watering Device that relies on soil moisture sensors and Arduino interfaces. The quantitative experimental research method was used to determine the accuracy of the automatic watering

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Sri, Ramya Siraparapu S. M. A. K. Azad. "Aqua-stream: an IoT based smart water management system for sustainable living." Indonesian Journal of Electrical Engineering and Computer Science 36, no. 3 (2024): 1460–69. https://doi.org/10.11591/ijeecs.v36.i3.pp1460-1469.

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Aqua-stream, an innovative internet of things (IoT) enabled water management system, utilizes the power of long short-term memory (LSTM) networks, a sophisticated time-series forecasting machine learning technique with Kafka. Aqua-stream seamlessly integrates LSTM within the Kafka streaming architecture for efficient real-time data processing, ensuring quick responses to emerging water management needs. LSTM is employed for real-time anomaly detection, dynamically analyzing streaming data to prevent leaks through automated shut-off valves. The system’s comprehensive dashboard utilizes LS

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Siraparapu, Sri Ramya, and S. M. A. K. Azad. "Aqua-stream: an IoT based smart water management system for sustainable living." Indonesian Journal of Electrical Engineering and Computer Science 36, no. 3 (2024): 1460. http://dx.doi.org/10.11591/ijeecs.v36.i3.pp1460-1469.

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<p class="03IJISAEAbstract">Aqua-stream, an innovative internet of things (IoT) enabled water management system, utilizes the power of long short-term memory (LSTM) networks, a sophisticated time-series forecasting machine learning technique with Kafka. Aqua-stream seamlessly integrates LSTM within the Kafka streaming architecture for efficient real-time data processing, ensuring quick responses to emerging water management needs. LSTM is employed for real-time anomaly detection, dynamically analyzing streaming data to prevent leaks through automated shut-off valves. The system’s compreh

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Muhammad, Figur, and Ramdana Ramdana. "SMART WATER PUMP DESIGN USING DECISION TREE FOR IOT-BASED AUTOMATIC FRUIT PLANT IRRIGATION." JIKO (Jurnal Informatika dan Komputer) 8, no. 1 (2025): 7–12. https://doi.org/10.33387/jiko.v8i1.8893.

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The continuous growth of the population each year increases the demand for adequate food supplies, while land for cultivation is becoming more limited. One solution to this issue is the technique of growing fruit in pots (tabulampot). Irrigating potted plants is a crucial maintenance stage, where deficit irrigation can help manage fruit quality. However, manual watering by farmers is time-consuming and labor-intensive, necessitating an automation system. This research aims to design and build a smart water pump system based on the Internet of Things (IoT) using a Decision Tree algorithm to mon

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Sirmayanti, Sirmayanti. "Watering Stimulation of Alliun cepa L Plants Based on IoT Through the ESP32 Microcontroller and MQTT Protocol." JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING 4, no. 2 (2021): 343–54. http://dx.doi.org/10.31289/jite.v4i2.4456.

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Allium cepa L. (Shallots) is classified as a seasonal plant that requires special water treatment techniques correctly and precise watering methods. Farmers in the highlands of Enrekang Regency, South Sulawesi, mostly still prefer watering this plant traditionally and manually even though it is in large garden areas. Farmers also find it difficult to handle watering crops on large tracts of land and are overwhelmed by not having enough time to care for water evenly. Implementation of Internet of Things (IoT) based onion watering method utilizes an ESP32 microcontroller with the Message Queuing

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Dr.R.M.S.Parvathi, R.Sathishkumar, V.Sujitha, and S.Praveenkumar. "IOT BASED SMART TEMPERATURE SENSOR FOR HOME BALCONY GARDEN." International Journal for Science and Advance Research In Technology 9, no. 5 (2023): 1–5. https://doi.org/10.5281/zenodo.7896002.

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In an agricultural country like India a lot of people will work with green thumb in mind. Most of the people loves to grow plants at home, but due to their work schedule they won’t often take care of plants. The only solution to this problem is smart monitoring of the plant growth by modernizing the current traditional methods of gardening. Hence the proposed system targets at smart way of monitoring the plant growth using automation and IoT technologies. Internet of things (IoT) provides various applications for crop growth and monitoring the growth conditions. Main theme of this projec

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Yin, Yin Nu, San Lwin San, and Win Maw Win. "Automatic Plant Watering System using Arduino UNO for University Park." International Journal of Trend in Scientific Research and Development 3, no. 4 (2019): 902–6. https://doi.org/10.31142/ijtsrd23714.

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Watering is the most important cultural practice and most labor intensive task in daily greenhouse operation. Watering systems ease the burden of getting water to plants when they need it. Knowing when and how much to water is two important aspects of watering process. To make the gardener works easily, the automatic plant watering system is created. There have a various type using automatic watering system that are by using sprinkler system, tube, nozzles and other. This system uses Arduino UNO board, which consists of ATmega328 microcontroller. It is programmed in such a way that it will sen

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Pavlović, Hrvoje, Marko Budimir, Fran Milković, et al. "Improvement Possibilities for Nuclear Power Plants Inspections by Adding Deep Learning-based Assistance Algorithms Into a Classic Ultrasound NDE Acquisition and Analysis Software." Journal of Energy - Energija 71, no. 1 (2023): 40–42. http://dx.doi.org/10.37798/2022711410.

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The safety of nuclear power plants has always been one of the most important security issues in the industry in general. Numerous standards, techniques, and tools have been developed to deal specifically with the safety of nuclear power plants – one has specialised probes, robotized systems, electronics, and software. Although seen as a mature (or slowly evolving) industry, this notion about nuclear safety is a bit misleading – the area is developing in many promising new directions. Some recent global events will speed up this development even more. On the other hand, the industry is currentl

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Evgen, Khmelnуtskyi, and Azizov Teymur. "INCREASE OF PRODUCTIVITY OF THE CHEMICAL ENTERPRISE TERMS OF COORDINATION OF WORK OF ELECTRICAL PROTECTION AND TECHNOLOGICAL AUTOMATION." Collection of scholarly papers of Dniprovsk State Technical University (Technical Sciences) 2, no. 43 (2023): 90–95. http://dx.doi.org/10.31319/2519-2884.43.2023.9.

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The coke oven gas purification workshop is connected to the main workshops of the coke-chemical production plant. In our warehouse, we have a large amount of electrical and chemical equipment that operates in a continuous mode. Analysis of the disruption of the technological process shows that one of the main reasons is the absence of an automatic control system and control of the flowing processes in the devices, as well as the possibility of reducing the quality of care from the norm without interruption. ladnannya. Therefore, when creating a selectivity map for relay controllers, it is nece

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Bouni, Mohamed, Badr Hssina, Khadija Douzi, and Samira Douzi. "Impact of Pretrained Deep Neural Networks for Tomato Leaf Disease Prediction." Journal of Electrical and Computer Engineering 2023 (February 22, 2023): 1–11. http://dx.doi.org/10.1155/2023/5051005.

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The economic prosperity of a country is highly dependent on agriculture. The use of technology in agriculture has greatly contributed to the economic prosperity of industrialized countries and is crucial for the growth of emerging countries. One major challenge in agriculture is the detection and control of plant diseases, which can greatly affect food production and population well-being. Plant illnesses have a substantial effect on plant productivity and quality. The detection of various types of diseases in plants with bare eyes is time consuming and a difficult task with little precision.

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Astutiningtyas, Maria Beata Inka, Monika Margi Nugraheni, and Suyoto Suyoto. "Automatic Plants Watering System for Small Garden." International Journal of Interactive Mobile Technologies (iJIM) 15, no. 02 (2021): 200. http://dx.doi.org/10.3991/ijim.v15i02.12803.

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Background: Automation is starting to dominate the world today. We are enter-ing a new era of computing technology, the Internet of Things (IoT), which is experiencing rapid development. IoT is a worldwide neural network in the cloud that connects a mixture of things, aiming to maximise the benefits of internet con-nectivity in transferring and processing data. Using IoT, one can monitor and control a device remotely with a computer or smartphone. IoT can apply in vari-ous fields, one of which is the smart garden. Objective: This research aims to design an automatic plant's watering system use

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Sarode1, Dr Harsha Jitendra, Omkar R. Patil, Yash M. Belavalekar, and Ranjeet A. Vhanmane. "Smart Greenhouse with IOT: Live Horticulture Data Insights." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem43624.

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This project introduces horticultural methods that have been transformed by the incorporation of Internet of Things (IoT) technology into greenhouse farming, also referred to as the "smart greenhouse", which allows for automation, data-driven decision-making, and real-time monitoring. Our platform offers both a shopping experience and a learning platform by combining the capability of smart IoT-enabled greenhouses with a vast variety of plants. With the help of real-time data insights from modern sensors, we provide a selection of premium plants that flourish in the perfect growing environment

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Hien, Le Thi Thu, Nguyen Tuong Van, Kim Thi Phuong Oanh, et al. "Genomics and big data: Research, development and applications." Vietnam Journal of Biotechnology 19, no. 3 (2021): 393–410. http://dx.doi.org/10.15625/1811-4989/16158.

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Recent years, genomics and big data analytics have been widely applied and have significant impacts in various important areas of social life worldwide. The development of the next-generation sequencing (NGS) technologies, such as whole-genome sequencing (WGS), whole-exome sequencing (WES), transcriptome, and/or targeted sequencing, has enabled quickly generating the genomes of interested living organisms. Around the world many nations have invested in and promoted the development of genomics and big data analytics. A number of well-established projects on sequencing of human, animal, plant, a

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Vidushi, Sharma. "AI-Powered Automation in Healthcare: Improving Patient Care and Operational Efficiency." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 7, no. 4 (2019): 1–8. https://doi.org/10.5281/zenodo.14785680.

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Artificial Intelligence (AI) and automation technologies have become pivotal in transforming the healthcare sector, offering innovative solutions that enhance both patient care and operational efficiency. The integration of AI-powered automation can address several critical challenges faced by modern healthcare systems, including rising patient demand, resource limitations, and the increasing complexity of healthcare management. AI-driven systems provide opportunities to automate routine tasks, improve diagnostic accuracy, optimize clinical workflows, and deliver personalized treatment plans b

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Pi, Ling. "The Construction of Roof Greening Intelligent Management System Based on Wireless Sensor Network Technology." Journal of Physics: Conference Series 2074, no. 1 (2021): 012086. http://dx.doi.org/10.1088/1742-6596/2074/1/012086.

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Abstract Roof greening can make up for the problem of urban green deficiency to some extent, add green space for people in urban life, and also alleviate urban ecological problems and heat island effect. With the development of information technology, the development level of modern automation is higher and higher. Information has penetrated into various industries. So it is very important to develop intelligent management system(IMS) of roof greening to use information technology reasonably. At present, roof greening is mainly artificial operation management, and there are many random factors

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Alekseev, Oleksiy, and Lilia Petriyanchuk. "FACTORS OF PEPPER YIELD FORMATION." Agriculture and Forestry, no. 3 (34) (October 22, 2024): 149–56. https://doi.org/10.37128/2707-5826-2024-3-13.

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In production conditions, the average yield of pepper varieties is lower and is 25-30 t/ha, but it can be 40-45 t/ha with proper care. The average yield of bitter pepper with proper care is 20-25 t/ha. In modern greenhouses, it can be much higher and amount to 100-200 t/ha. Sweet pepper responds well to mineral and organic fertilizers, but the most effective is the complex application of these types of fertilizers. Sweet pepper should be fed for the first time 10-12 days after planting. In the period before flowering, it is better to divide the application of nitrogen fertilizers into several

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Baikalov, Yaroslav, Iryna Dzhygyrey, Vladyslav Bendiuh, et al. "Improvement of quarry and slagheap reclamation technology." Eastern-European Journal of Enterprise Technologies 4, no. 10 (118) (2022): 38–50. http://dx.doi.org/10.15587/1729-4061.2022.263513.

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This paper considers and analyzes a relevant issue of treatment of disturbed soils. The equipment to carry out various processes of mining reclamation of waste heaps and quarries with a significant reduction in the level of environmental risks through the operation of an energy-saving small-sized apparatus has been designed. The use of the developed soil reclamator is also adequate for pre-sowing and other types of agrotechnical tillage, plant care in agricultural fields, as well as in areas with a heterogeneous landscape. The functionality of the unit is able to provide energy autonomy and au

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Yaroslav, Baikalov, Dzhygyrey Iryna, Bendiuh Vladyslav, et al. "Improvement of quarry and slagheap reclamation technology." Eastern-European Journal of Enterprise Technologies 4, no. 10 (118) (2022): 38–50. https://doi.org/10.15587/1729-4061.2022.263513.

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This paper considers and analyzes a relevant issue of treatment of disturbed soils. The equipment to carry out various processes of mining reclamation of waste heaps and quarries with a significant reduction in the level of environmental risks through the operation of an energy-saving small-sized apparatus has been designed. The use of the developed soil reclamator is also adequate for pre-sowing and other types of agrotechnical tillage, plant care in agricultural fields, as well as in areas with a heterogeneous landscape. The functionality of the unit is able to provide energy autonomy and au

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Sharma, Vidushi. "AI-powered RPA in healthcare: Reducing costs and improving patient outcomes." International Journal of Multidisciplinary Research and Growth Evaluation 5, no. 1 (2024): 1004–11. https://doi.org/10.54660/.ijmrge.2024.5.5.1072-1079.

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The integration of Artificial Intelligence (AI) with Robotic Process Automation (RPA) has led to significant advancements across various industries, with the healthcare sector experiencing transformative benefits. AI-powered RPA combines the decision-making abilities of AI with the efficiency of automation, offering solutions that streamline healthcare operations, reduce costs, and improve patient care. This paper explores the pivotal role of AI-driven RPA in healthcare, focusing on its applications in automating administrative tasks, clinical processes, and patient engagement. By examining it

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Diva Septiawan, Misbahuddin, and Giri Wahyu Wiriasto. "IoT-Driven Solutions for Improved Plant Care in Terrariums." International Journal of Electrical, Energy and Power System Engineering 8, no. 1 (2025): 72–85. https://doi.org/10.31258/ijeepse.8.1.72-85.

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The rapid advancement of Internet of Things (IoT) technology has revolutionized various sectors, including smart agriculture. This study explores an IoT-driven solution to enhance plant care in terrariums by automating maintenance and optimizing growth conditions. The proposed system monitors key environmental parameters temperature, humidity, and soil moisture while automating irrigation using an ESP32 microcontroller, DHT11 and YL-69 sensors, a relay, and a mini DC pump. An Android application, developed with Android Studio and Arduino IDE, integrates the system via Firebase for real-time da

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Kanade, Akanksha, and Prof Rajeshwari Dandage. "Smart Planter: Simplifying Plant Care with AI Sensors." International Journal for Research in Applied Science and Engineering Technology 12, no. 11 (2024): 931–34. http://dx.doi.org/10.22214/ijraset.2024.65231.

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Abstract: This paper presents a smart plant care system developed to address the challenges of indoor plant maintenance for busy or novice plant owners. Leveraging AI sensors and IoT technology, the system continuously monitors crucial environmental parameters—soil moisture, temperature, and light exposure—to optimize plant health. Real-time data analytics and machine learning algorithms analyze this data, predicting care needs and automating responses like watering adjustments, with minimal user input. The user-friendly mobile app interface provides actionable insights, enabling remote monito

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Comi, Matt, Florence Becot, and Casper Bendixsen. "Automation, Climate Change, and the Future of Farm Work: Cross-Disciplinary Lessons for Studying Dynamic Changes in Agricultural Health and Safety." International Journal of Environmental Research and Public Health 20, no. 6 (2023): 4778. http://dx.doi.org/10.3390/ijerph20064778.

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In this review, we first assess the state of agricultural health and safety research as it pertains to the dynamic challenges facing automating agriculture on a warming planet. Then, we turn to social science fields such as rural sociology, science and technology studies, and environmental studies to leverage relevant insights on the introduction of new technologies, environmental risks, and associated workplace hazards. Increased rates of automation in agriculture alongside new risks associated with climate change create the need for anticipatory governance and adaptive research to study nove

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Subburaj, Sandhya Devi Ramiah, Cowshik Eswaramoorthy, Vishnu Gunasekaran Latha, and Rakshan Kaarthi Palanisamy Chinnasamy. "Efficient Pest Detection Through Advanced Machine Learning Technique." Current Agriculture Research Journal 12, no. 3 (2025): 1127–34. https://doi.org/10.12944/carj.12.3.08.

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Crop Protection is the key element to achieve food security. Many studies have been conducted over the decades to avoid crop losses during pre- harvest and post-harvest stages. Crop losses due to pest attack and plant disease spread, reduces the agriculture production and possess a direct impact on the economy of a country. Deployment of Artificial Intelligence (AI) based pest control strategies to detect pest species is under research. In this manuscript, deep learning based EfficientNetB7 architecture and transfer learning methodology is used to develop a real-time resource-efficient pest de

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Chan, Edwin H., Shaziya Malam, and James Loudon. "Implementing Radiation Oncology Care Plans as a foundation for process improvement." Journal of Radiotherapy in Practice 15, no. 1 (2015): 91–98. http://dx.doi.org/10.1017/s1460396915000515.

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AbstractBackgroundAt The Radiation Medicine Program described, the entire radiation therapy (RT) workflow was previously conducted through the use of two electronic programs. It duplicated workflow and created a situation where it was difficult to measure the RT process. Recent enhancements to the electronic medical record facilitated the consolidation of RT planning and treatment workflows into one electronic system.PurposeThis report will describe the clinical implementation of electronic Radiation Oncology (RO) Care Plans at a Regional Cancer Centre, and how they can be applied as a foundat

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Tevaarwerk, Amye J., Kari B. Wisinski, Kevin A. Buhr, et al. "Leveraging Electronic Health Record Systems to Create and Provide Electronic Cancer Survivorship Care Plans: A Pilot Study." Journal of Oncology Practice 10, no. 3 (2014): e150-e159. http://dx.doi.org/10.1200/jop.2013.001115.

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Rapid care plan creation and delivery within an EHR is possible. Further research is required to explore the barriers to automating importation into plans as well as the impact of EHR-integrated plans.

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Bhute, Dr Avinash, Aniket Gavkare, Pratik Nagare, Vineet Morankar, and Moin Shaikh. "Potato Plant Disease Detection." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 3653–67. https://doi.org/10.22214/ijraset.2025.67911.

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Abstract: Potatoes are widely grown worldwide and play a significant role in many cuisines, especially in India, where they are among the top crops cultivated. Potato plants often get sick, which can make them not very good to eat and make fewer potatoes grow. For maximum production it is necessary to maintain crop health by identifying various kinds of diseases. Similar to approaches used to identify illnesses in tomato leaves, advancements in deep learning and machine learning techniques appear potential for automating the identification and treatment of potato issues. These approaches invol

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Apostolidis, Kyriakos D., Theofanis Kalampokas, Theodore P. Pachidis, and Vassilis G. Kaburlasos. "Grapevine Plant Image Dataset for Pruning." Data 7, no. 8 (2022): 110. http://dx.doi.org/10.3390/data7080110.

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Grapevine pruning is conducted during winter, and it is a very important and expensive task for wine producers managing their vineyard. During grapevine pruning every year, the past year’s canes should be removed and should provide the possibility for new canes to grow and produce grapes. It is a difficult procedure, and it is not yet fully automated. However, some attempts have been made by the research community. Based on the literature, grapevine pruning automation is approximated with the help of computer vision and image processing methods. Despite the attempts that have been made to auto

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Stankovic, Mirjana, Branimir Kovacevic, and Lato Pezo. "Wet water glass production plant." Chemical Industry 57, no. 2 (2003): 64–67. http://dx.doi.org/10.2298/hemind0302064s.

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The IGPC Engineering Department designed basic projects for a wet hydrate dissolution plant, using technology developed in the IGPC laboratories. Several projects were completed: technological, machine, electrical, automation. On the basis of these projects, a production plant of a capacity of 75,000 t/y was manufactured, at "Zeolite Mira", Mira (VE), Italy, in 1997. and 1998, increasing detergent zeolite production, from 50,000 to 100,000 t/y. Several goals were realized by designing a wet hydrate dissolution plant. The main goal was increasing the detergent zeolite production. The technologi

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Shen, Min, Shuwen Han, Zeyang Feng, et al. "AI-driven Management of Wound Care Workflows." Journal of Medicine and Health Science 2, no. 3 (2024): 19–32. https://doi.org/10.62517/jmhs.202405303.

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Wound care is a critical aspect of healthcare, particularly in managing chronic and complex wounds, which require multifaceted approaches involving accurate assessment, appropriate intervention, continuous monitoring, and efficient resource allocation. The advent of artificial intelligence (AI) offers innovative solutions to these long-standing challenges. This study aims to explore how AI optimizes and manages wound care workflows by leveraging publicly available data and existing literature. Key findings indicate that AI chatbots demonstrate high accuracy in identifying suitable treatment pl

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Schäfer, Justus. "Where Lies the Problem?" FOOTPRINT 19, no. 1 (2025): 75–92. https://doi.org/10.59490/footprint.19.1.7863.

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The article addresses the relationality of automation and the political-libidinal literacy of citizens. After contextualising the problem of reactive subjectivity in the Global Northwest of a perpetuating Enlightenment dialectics, the role of technology in the political-libidinal mereology is revaluated. Drawing from Bernard Stiegler’s notion of tertial retention and Gregory Bateson’s cybernetic theory, the milieu is reconstituted as a plane of transversal desire production and collective anticipation. In times of intensifying multiscalar automation, a lacking attunement to surroundings and re

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Hudda, Sahil, Dr Raj Kumar, and Dr Neerja Negi. "The Changing Landscape of Healthcare with State of the Art AI Technology." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (2024): 1700–1705. http://dx.doi.org/10.22214/ijraset.2024.61723.

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Abstract: Artificial Intelligence (AI) has emerged as a transformative force in healthcare, offering unparalleled opportunities to enhance patient outcomes, streamline processes, and reduce costs. This abstract provides an overview of the diverse applications of AI in healthcare, including medical imaging analysis, predictive analytics, personalized treatment plans, and administrative tasks automation. By leveraging machine learning algorithms and big data analytics, AI enables healthcare professionals to make more accurate diagnoses, predict disease progression, and customize treatment regime

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Walde, Amy, and Emma Bootle. "Survivorship: Leveraging the EMR to better care." Journal of Clinical Oncology 37, no. 27_suppl (2019): 283. http://dx.doi.org/10.1200/jco.2019.37.27_suppl.283.

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283 Background: UCHealth is a 10-hospital health system located on the Front Range of the Rocky Mountains. In 2018, UCHealth Cancer Care diagnosed or treated more than 8,400 analytic cases. In this presentation, we will discuss how we formulated a response to our organizational need for the creation of a Cancer Survivorship Program that not only met the ASCO QOPI & Commission on Cancer (CoC) Standards but also the needs of our patients. Methods: Our response plan included devising processes for the development and delivery of treatment summary care plans (TS/SCP). The development phase com

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MRS.NEENA, S. WATKAR, N. A. DAWANDE PROF., SURESH RODE PROF., and S.K. SHELKE PROF. "AUTOMATIC MONITORING AND CONTROLLING SYSTEM USING PLC FOR MUSHROOM PLANT." JournalNX - a Multidisciplinary Peer Reviewed Journal 3, no. 7 (2017): 92–95. https://doi.org/10.5281/zenodo.1420899.

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The white button mushroom is very popular throughout the world and is the most important mushroom of commercial significance in India. It can be successfully cultivated in places where the environmental conditions are favourable but it is cultivated in North India in winter seasons due to the favourable conditions. The optimum temperature for mycelial growth is 22Â°C- 25Â°C and that for fruit body formation 14Â°C -18Â°C and a high percentage of relative humidity. The mushroom cultivation rooms should have facilities for temperature control and pasteuriza

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Pietkevich, M. V., and V. Yu Yushkevich. "Development and machine learning of a multi-criteria ionizing radiation dose distribution model in the Eclipse treatment planning system." Proceedings of the National Academy of Sciences of Belarus. Physical-technical series 70, no. 2 (2025): 166–76. https://doi.org/10.29235/1561-8358-2025-70-2-166-176.

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The automation of the radiotherapy preparation process is demonstrated through the development and machine learning of a multi-criteria ionizing radiation dose distribution model, using artificial intelligence tools embedded in the RapidPlan module of the Eclipse v16.1 (Varian Medical Systems) treatment planning system. A retrospective data analysis of 40 patients with thoracic and lumbar spine pathologies was performed to train the model. For each patient, a radiation dose distribution model was created using stereotactic radiation therapy with an inverse planning method and a dose fractionat

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Irsyam, Muhammad. "SISTEM OTOMASI PENYIRAMAN TANAMAN BERBASIS TELEGRAM." SIGMA TEKNIKA 2, no. 1 (2019): 81. http://dx.doi.org/10.33373/sigma.v2i1.1834.

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ABSTRAK Faktor yang menentukan kegagalan pertumbuhan suatu tanaman hampir dipengaruhi oleh teknik atau cara penyiraman tanaman yang salah. Hal ini disebabkan oleh teknik penyiraman yang dilakukan secara manual sehingga tidak semua tanaman mendapatkan asupan air yang merata untuk menghidari tanaman menjadi layu. Faktor lain yang menyebabkan kegagalan pertumbuhan tanaman adalah kelembaban tanah. Oleh karena itu, untuk mengurangi permasalahan tersebut dirancanglah “Sistem Otomasi Penyiraman Tanaman Berbasis Telegram”. Adapun sistem ini meliputi penyiraman tanaman secara otomatis berdasarkan kadar

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Donnelly, Cáit, Sarah Crehan, Elizabeth Mc Manus, et al. "Digital Health Solutions & innovation - exploration of Robotic Process Automation (RPA)." International Journal of Integrated Care 25 (April 9, 2025): 579. https://doi.org/10.5334/ijic.icic24513.

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Introduction - What we did The team was tasked with the following: Identify top 10 administratively time consuming processes currently in place in CHN which could be supported by robotic process automation (RPA). Deep dive into 3 processes. Provide recommendations including benefit analysis of implementing RPA. Outcomes and what was achieved: The team successfully identified 3 processes, which could be suitable for RPA and where efficiency and accuracy could also be increased. Cora looks at the renewal process of regulated health care professionals in our CHO. I take the information from the p

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Kalapala, Ramprakash. "AUTOMATED CARE PATHWAYS: LEVERAGING AI AND EHR DATA TO PERSONALIZE TREATMENT JOURNEYS." international journal of advanced research in computer science 16, no. 3 (2025): 28–32. https://doi.org/10.26483/ijarcs.v16i3.7264.

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Automated care pathways signify a remarkable evolution in healthcare delivery, showcasing an innovative synergy between artificial intelligence (AI) and electronic health records (EHRs) to craft highly individualized treatment journeys tailored to the unique needs of each patient. By meticulously analyzing vast arrays of historical medical data, real-time health metrics, and documented treatment outcomes, advanced AI algorithms become capable of recommending personalized care plans [1][2]. These plans not only enhance clinical efficiency but also significantly elevate patient outcomes and miti

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Alahmar, Ayman, Mohannad AlMousa, and Rachid Benlamri. "Automated clinical pathway standardization using SNOMED CT- based semantic relatedness." DIGITAL HEALTH 8 (January 2022): 205520762210897. http://dx.doi.org/10.1177/20552076221089796.

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The increasing number of patients and heavy workload drive health care institutions to search for efficient and cost-effective methods to deliver optimal care. Clinical pathways are promising care plans that proved to be efficient in reducing costs and optimizing resource usage. However, most clinical pathways are circulated in paper-based formats. Clinical pathway computerization is an emerging research field that aims to integrate clinical pathways with health information systems. A key process in clinical pathway computerization is the standardization of clinical pathway terminology to comp

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Journal, IJSREM. "Ecoworld Planit: Making a Difference." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 12 (2023): 1–11. http://dx.doi.org/10.55041/ijsrem27588.

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Abstract—This research paper presents the invention and development of the "PLANIT" mobile application, designed to promote eco-friendly activities and connect like-minded individuals in a global community. PLANIT addresses contemporary challenges associated with technology's impact on daily life by encouraging users to engage in meaningful eco- friendly actions. The paper outlines the technical aspects of PLANIT, including its utilization of Android Studio, Firebase database, Java, and TensorFlow to create a user-friendly platform. The application employs machine learning algorithms to valida

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Pulungan, Ali Basrah, Hamdani Hamdani, Hastuti Hastuti, and Arzi Afriyanda. "Pemanas Kue Pukis Otomatis Berbasis Mikrokontroler." JTEIN: Jurnal Teknik Elektro Indonesia 1, no. 1 (2020): 1–5. http://dx.doi.org/10.24036/jtein.v1i1.8.

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The development of modern technologies and automation of electronic devices today makes work easier. For example in the temperature control system on a heater that is designed more automatically, in the manufacture of this Pukis cake heater, it is supported by supporting components such as atmega 32 microconroler as a control center for pukis cake heaters, thermocouple sensors as temperature detectors, heater as heating element, fan as regulator of air circulation on the heater, the keypad functions as a medium input temperature setting on the heater, LCD as a display media output on the heate

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