This document describes a system for soil analysis and crop prediction using IoT technology. The system measures soil parameters like temperature, humidity and nutrients (nitrogen, phosphorus, potassium) using sensors. It analyzes the soil data and predicts the suitable crops for the soil type. An Arduino board is used to collect data from the sensors via WiFi. The data is sent to a Blynk server which uses machine learning algorithms to analyze the soil conditions and suggest appropriate crops to the farmer via notifications. The system aims to help farmers choose optimal crops and increase agricultural productivity and profits. Tests were conducted and the system was able to accurately measure soil parameters, send alerts, and predict suitable crops based on the soil analysis.
Automation in Agriculture and IoT
Cloud Technologies providing Complete Solution for all
Academic Projects Final Year/Semester Student Projects
For More Details,
Contact:
Mobile:- +91 8121953811,
whatsapp:- +91 8522991105,
Email ID: cloudtechnologiesprojects@gmail.com
1) The presentation discusses the use of IoT (Internet of Things) in agriculture, including how sensors can provide farmers real-time data on crop yields, weather, soil nutrition to improve techniques. 2) IoT applications presented include crop monitoring, weather monitoring, soil testing, farm machinery navigation using drones, robots, and sensors. 3) While IoT can save time, improve security and efficiency, barriers to adoption include lack of infrastructure, high costs, and issues around security and privacy.
IoT based water saving technique for Green Farmingijtsrd
A decision Support System based on the combination of micro controllers and ADC and ANN Algorithm is proposed to support the irrigation management in agriculture. The farmers experience and the irrigation best practices are modeled through Artificial Intelligence and Neural Network Algorithm and the outputs of numerical soil and crop models are used to provide a context-aware and optimized irrigation schedule. The suggested actions are devoted to reduce the waste of water and to maximize the crop yield according to the weather conditions and the real water needs. The proposed methodology is embedded in the network gateway making the system a truly smart and autonomous wireless decision support system. Nurjaha Bagwan | Pradnya Kushire | Manasi Deshpande | Priyanka Singh | Prof. Shyam Gupta"IoT based water saving technique for Green Farming" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd14435.pdf http://www.ijtsrd.com/engineering/computer-engineering/14435/iot-based-water-saving-technique-for-green-farming/nurjaha-bagwan
This document describes a proposed design for an advanced smart agriculture farm using IoT. Key aspects of the design include:
1. Multiple stepped farms arranged to efficiently use and direct excess water between farms and into a collection tank.
2. Sensors monitor soil moisture and other variables to automate irrigation and control water flow between farms.
3. Farmers can remotely monitor and control the farm using IoT to improve water use, crop selection, and yields.
IRJET- Role of Internet of Things in AgricultureIRJET Journal
This document discusses the role of Internet of Things (IoT) in agriculture. It begins by introducing IoT and how it can improve efficiency, productivity, and reduce human intervention in agriculture. It then discusses several current applications of IoT in agriculture including data mining, precision farming, livestock monitoring, smart greenhouses, and remote sensing. It also provides some new ideas for IoT applications and discusses both the advantages, such as increased yields and reduced costs, and disadvantages, such as high costs and environmental damage, of using IoT in agriculture. Finally, it provides suggestions for addressing the disadvantages like decreasing equipment costs and educating farmers on proper IoT usage.
8 applications of IOT in agriculture for smart farmingkalyanit6
The document discusses 8 applications of IoT in agriculture for smart farming. It begins by providing background on how IoT has expanded into various industries including agriculture. It then outlines the 8 key applications: 1) climatic conditions monitoring using sensors to track weather data, 2) greenhouse automation using sensors to adjust conditions, 3) precision farming using sensors to evaluate soil conditions, 4) use of agricultural drones to monitor crops and perform tasks, 5) crop management using sensors to monitor crop growth, 6) cattle monitoring and tracking using sensors, 7) end-to-end farm management systems using multiple sensors and analytics, and 8) predictive analytics to anticipate risks, yields, and harvesting needs. The document concludes that IoT applications can help
Advance Agro Farm Design With Smart Farming, Irrigation and Rain Water Harves...IJOAEM
The paper presents the design of agriculture farm especially for the plane region which can well utilize by the farmer to sort out the scarcity of water for crop growth. The farmers are subjected with the lots of problem in agriculture like improper irrigation, selection of crops, non availability of whether information according to their region, the problem from pest and wild animals. Due to these problems, the suicidal case of farmers gets increase day by day. These problems can be sort out by using IoT. Here we use Arduino Yun having inbuilt Wi-Fi to transfer and analyze data using any IoT platform likes Kaa IoT, Watson IoT, and Cayenne. We can use different IoT communication technology like Z-wave, 6LowPAN, Thread, Sigfox, and Neul to communicate various sensors to the external world according to the application. Here we simulate the design of entire sensor network used in this project using NetSim simulator and emulator software. After emulation of designed network design by taking 50 m as field size, we obtained various graphs which show throughput of each link from sensor node up to the monitoring base station, graphs of various parameter like packet transfer, collided packets, payload and overhead transmitted and battery consumed by each sensor for specified duration. Also, farmers are able to grow a health hazard free crop for the upcoming generation.
Automation in Agriculture and IoT
Cloud Technologies providing Complete Solution for all
Academic Projects Final Year/Semester Student Projects
For More Details,
Contact:
Mobile:- +91 8121953811,
whatsapp:- +91 8522991105,
Email ID: cloudtechnologiesprojects@gmail.com
1) The presentation discusses the use of IoT (Internet of Things) in agriculture, including how sensors can provide farmers real-time data on crop yields, weather, soil nutrition to improve techniques. 2) IoT applications presented include crop monitoring, weather monitoring, soil testing, farm machinery navigation using drones, robots, and sensors. 3) While IoT can save time, improve security and efficiency, barriers to adoption include lack of infrastructure, high costs, and issues around security and privacy.
IoT based water saving technique for Green Farmingijtsrd
A decision Support System based on the combination of micro controllers and ADC and ANN Algorithm is proposed to support the irrigation management in agriculture. The farmers experience and the irrigation best practices are modeled through Artificial Intelligence and Neural Network Algorithm and the outputs of numerical soil and crop models are used to provide a context-aware and optimized irrigation schedule. The suggested actions are devoted to reduce the waste of water and to maximize the crop yield according to the weather conditions and the real water needs. The proposed methodology is embedded in the network gateway making the system a truly smart and autonomous wireless decision support system. Nurjaha Bagwan | Pradnya Kushire | Manasi Deshpande | Priyanka Singh | Prof. Shyam Gupta"IoT based water saving technique for Green Farming" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd14435.pdf http://www.ijtsrd.com/engineering/computer-engineering/14435/iot-based-water-saving-technique-for-green-farming/nurjaha-bagwan
This document describes a proposed design for an advanced smart agriculture farm using IoT. Key aspects of the design include:
1. Multiple stepped farms arranged to efficiently use and direct excess water between farms and into a collection tank.
2. Sensors monitor soil moisture and other variables to automate irrigation and control water flow between farms.
3. Farmers can remotely monitor and control the farm using IoT to improve water use, crop selection, and yields.
IRJET- Role of Internet of Things in AgricultureIRJET Journal
This document discusses the role of Internet of Things (IoT) in agriculture. It begins by introducing IoT and how it can improve efficiency, productivity, and reduce human intervention in agriculture. It then discusses several current applications of IoT in agriculture including data mining, precision farming, livestock monitoring, smart greenhouses, and remote sensing. It also provides some new ideas for IoT applications and discusses both the advantages, such as increased yields and reduced costs, and disadvantages, such as high costs and environmental damage, of using IoT in agriculture. Finally, it provides suggestions for addressing the disadvantages like decreasing equipment costs and educating farmers on proper IoT usage.
8 applications of IOT in agriculture for smart farmingkalyanit6
The document discusses 8 applications of IoT in agriculture for smart farming. It begins by providing background on how IoT has expanded into various industries including agriculture. It then outlines the 8 key applications: 1) climatic conditions monitoring using sensors to track weather data, 2) greenhouse automation using sensors to adjust conditions, 3) precision farming using sensors to evaluate soil conditions, 4) use of agricultural drones to monitor crops and perform tasks, 5) crop management using sensors to monitor crop growth, 6) cattle monitoring and tracking using sensors, 7) end-to-end farm management systems using multiple sensors and analytics, and 8) predictive analytics to anticipate risks, yields, and harvesting needs. The document concludes that IoT applications can help
Advance Agro Farm Design With Smart Farming, Irrigation and Rain Water Harves...IJOAEM
The paper presents the design of agriculture farm especially for the plane region which can well utilize by the farmer to sort out the scarcity of water for crop growth. The farmers are subjected with the lots of problem in agriculture like improper irrigation, selection of crops, non availability of whether information according to their region, the problem from pest and wild animals. Due to these problems, the suicidal case of farmers gets increase day by day. These problems can be sort out by using IoT. Here we use Arduino Yun having inbuilt Wi-Fi to transfer and analyze data using any IoT platform likes Kaa IoT, Watson IoT, and Cayenne. We can use different IoT communication technology like Z-wave, 6LowPAN, Thread, Sigfox, and Neul to communicate various sensors to the external world according to the application. Here we simulate the design of entire sensor network used in this project using NetSim simulator and emulator software. After emulation of designed network design by taking 50 m as field size, we obtained various graphs which show throughput of each link from sensor node up to the monitoring base station, graphs of various parameter like packet transfer, collided packets, payload and overhead transmitted and battery consumed by each sensor for specified duration. Also, farmers are able to grow a health hazard free crop for the upcoming generation.
Artificial Intelligence is one of the emerging technologies in the field of agriculture which tries to simulate human reasoning in intelligent systems. It is making a revolution in agriculture by replacing inefficient traditional methods with more efficient AI based methods. AI is used in agriculture in various ways such as automation, robots, drones, soil and crop monitoring, and predictive analytics. This paper provides various applications of AI tools in agriculture. Matthew N. O. Sadiku | Sarhan M. Musa | Abayomi Ajayi-Majebi "Artificial Intelligence in Agriculture" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-2 , February 2021, URL: https://www.ijtsrd.com/papers/ijtsrd38513.pdf Paper Url: https://www.ijtsrd.com/engineering/electrical-engineering/38513/artificial-intelligence-in-agriculture/matthew-n-o-sadiku
Design and Development of IoT and Cloud Based Smart Farming System for Optimu...ijtsrd
This document describes the design and development of an IoT and cloud-based smart farming system for optimal water utilization and better crop yields. The system uses soil moisture sensors to frequently monitor soil moisture levels and uploads the data to the cloud. Based on the soil moisture levels, a motor automatically switches the irrigation on or off to ensure crops are watered only when needed. This reduces human involvement and waste by optimizing water usage according to programmed threshold values. Farmers can access reports on their phone to view farm statistics anytime. The system aims to address issues with traditional irrigation methods and help farmers improve production through smart technology and data-driven water management.
Around 60“ 70% of populace in India rely on the Agriculture division. In India, the water management system used in agriculture is obsolete which is causing poor usage of water resources. In some places, faulty techniques are used which results in under-usage or over-usage of water which impacts on the production of crops and decreases the yield. Not only this, proper education or knowledge is not spread to the farmers which will help them increase their production and business by knowing information regarding the soil type and moisture content which is required for a particular crop. Giving modern touch to the agriculture methods is of utmost importance because of the need in agriculture and food for the people to survive. Use of far-reaching and profound technologies such as IoT and cloud computing for modernizing and improving the traditional/ long-established/ conventional agricultural methods can control the cost, maintenance and provide greater expertise regarding production, quality of seeds, fertilizers, weed, pest control and irrigation. The latest technology like configurable wireless networks, sensors, and other cloud computing resources can be used to build and establish sustainable cloud services for betterment of agriculture. Naren M S | Nishita K Murthy | Manjunath C R | Soumya K N"A Survey: Modernizing Agriculture in India" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd12934.pdf http://www.ijtsrd.com/computer-science/other/12934/a-survey-modernizing-agriculture-in-india/naren-m-s
An internet of things ecosystem for planting of coriander (Coriandrum sativum...IJECEIAES
The internet of things (IoT) is a network of physical devices and is becoming a major area of innovation for computer-based systems. Agriculture is one of the areas which could be improved by utilizing this technology ranging from farming techniques to production efficiency. The objective of this research is to design an IoT to monitor local vegetable (Coriander; Coriandrum sativum L.) growth via sensors (light, humidity, temperature, water level) and combine with an automated watering system. This would provide planters with the ability to monitor field conditions from anywhere at any time. In this research, a group of local vegetables including coriander, cilantro, and dill weed were experimented. The prototype system consists of several smart sensors to accurately monitor the mentioned vegetable growth from seedling stage to a fully grown plant which will ensure the highest production levels from any field environment. Three different types coriander were measured under these parameters: height, trunk width, and leaf width. The result showed that IoT ecosystem for planting different types of coriander could produce effective and efficient plant growth and ready for harvest with a shorter time than conventional method.
IOT has many applications in agriculture such as crop water management using soil moisture sensors, pest management using motion detecting PIR sensors, precision farming using sensors and drones, and livestock monitoring using sensors on wearables that track temperature, activity, and health indicators. IOT helps optimize resources like water, increase yields, and monitor livestock health remotely. However, challenges include infrastructure and connectivity issues, costs, and difficulties in implementation and data analysis for some farmers. Overall, IOT solutions have potential to increase agricultural sustainability and competitiveness.
Paul _smart_cultivation_by_remote_monitoringsujit Biswas
The document describes a proposed remote field monitoring and control system using IoT. Various sensors would collect data on temperature, moisture, radiation etc. and transmit it via LoRaWAN gateway to a server for analysis. Machine learning models would analyze the data to provide predictions and recommendations to farmers via a smartphone app. This would allow remote monitoring and control of irrigation, pesticide distribution and more for better farm management.
23 9150 survey of ict knowledge based agriculture dev edit septianIAESIJEECS
This document discusses the use of information and communication technologies (ICT) in agriculture. It provides an overview of how ICT can be applied to store and share agricultural data and information through databases, data warehousing, mobile technologies, and internet distribution. Examples of ICT applications mentioned include geographic information systems for precision agriculture, automated milking systems, sensor networks for remote crop monitoring, and knowledge management systems to disseminate information to farmers. The conclusion emphasizes how ICT-based approaches can help transform agricultural methods and support the distribution of best practices and innovations to stakeholders across the agricultural value chain.
IoF - Internet of Farms - How the digital revolution is changing the agricult...Product of Things
These are the slides from Izhar Gilad's workshop at Product of Things Conference in Tel Aviv on July 2018:
Who this workshop is for:
This workshop is for those who wish to understand how to sell ‘new’ products to an ‘old’ world by looking at how ‘traditional’ agriculture and other domains (IoT, Cars, and others) are changing, and what are the new opportunities emerging in the field
After this workshop you will be able to:
- Recognize opportunities in ‘traditional’ industries
- Understand the challenges of presenting innovative products to ‘traditional’ domains
- Foresee the challenges of launching a product in a conservative market
What is covered:
- Getting to know the threats and opportunities in IoF
- Catching up on the latest market dynamics and trends
- Learning the best practices and extensive GTM knowhow, in cracking the way for a successful product launch
In this workshop, Izhar will share his unique perspective on the challenges of introducing new technologies into the ‘traditional’ field of agriculture, that only someone that grew and breathed ‘traditional’ agriculture his entire life has.
This document describes an IOT system developed to help farmers improve decision making for agriculture. Sensors are used to measure field parameters like temperature, humidity, and soil moisture. This data is stored on a server and analyzed to calculate crop water requirements using the Penman-Monteith algorithm and recommend fertilizers based on soil NPK values. The system also generates irrigation schedules based on inputs like sowing date and soil moisture. It is implemented locally to provide analytics and insights to improve profits by optimizing water and energy use through better irrigation planning.
A session on "Digitalization of Agriculture" at Entrepreneurship Conclave organized by Shailesh J. Mehta School of Management, Indian Institute of Technology Bombay.
IoT and Big Data an Enabler in Climate Smart AgricultureDassana Wijesekara
Climate change is causing unpredictable weather patterns that threaten agriculture. Climate-smart agriculture (CSA) helps farming adapt to and mitigate climate change to ensure food security. An IoT sensor network can sense local conditions, analyze big data using edge computing, and predict weather to help farming adapt through a continuous feedback loop. Open data standards and an e-government platform can further support CSA goals.
IRJET - Farm Field Monitoring Using IoT-A Survey PaperIRJET Journal
This document discusses using IoT technology to monitor farm fields. It reviews several existing research papers on IoT-based farm monitoring systems that use sensors to measure soil moisture, temperature, humidity and other factors. However, many of these systems have limitations such as high costs, lack of scalability, and sensors that cannot withstand harsh agricultural field conditions. The document proposes a new IoT farm monitoring system with sensors connected to a microcontroller and cloud platform. This would allow farmers to monitor field conditions remotely using a mobile app or LCD display and receive notifications. The system aims to help farmers increase crop yields while reducing water waste and crop losses.
This document discusses how artificial intelligence can be used in agriculture to address challenges of increasing global food demand. It outlines how AI is being applied to automate farming activities, identify plant diseases, monitor crop quality and environmental factors. Specific AI applications mentioned include using machine learning on drone and satellite images to predict weather, analyze crop health and detect pests or deficiencies. Autonomous tractors and irrigation systems are discussed as ways AI can make farming more efficient by performing tasks with less labor and optimizing resource use. The conclusion states that AI can help resolve resource scarcity and complement farmer decision making to help feed a growing global population.
The document discusses the concept of Internet of Things (IoT) and its applications in agriculture. It defines IoT and describes how physical objects can be connected to collect and exchange data. Some key applications of IoT in agriculture mentioned include monitoring soil moisture and temperature for controlled irrigation, livestock monitoring, pest monitoring, and mobile money transfers. However, constraints for implementing IoT in Indian agriculture include small land holdings, connectivity and affordability issues. Some case studies on precision agriculture and reducing water usage through IoT are also summarized.
Artificial Intelligence is an approach to make a computer, a robot, or a product to think about how smart humans think. AI is a study of how the human brain thinks, learns, decides and work when it tries to solve problems. And finally, this study outputs intelligent software systems. The aim of AI is to improve computer functions that are related to human knowledge, for example, reasoning, learning, and problem-solving.
The Latest Trends In The IoT Based Smart Agriculture Industry In 2021 UbiBot
The fourth industrial revolution will be dominated by technology and we can find AI (Artificial Intelligence) and the Internet Of Things finding their role in every industry. We all are well-aware of the fact that smart farming is the only way with which farmers can meet the growing global food demands. The wireless humidity sensor and industrial wireless sensors have become a common term in a farmer’s life.
UbiBot’s specializes in providing access to your IoT data wherever and whenever you need. We offer products @ IoT big data platform as well as wireless smart sensors . We have WiFi and GPRS enabled sensors that meant for data monitoring and helpful in bringing high quality IoT gateways.
A review of the literature on IOT-based smart agriculture monitoring and cont...IRJET Journal
This document summarizes 10 research papers on IoT-based smart agriculture systems. The papers discuss how IoT technologies like sensors, drones, and automation can increase farming efficiency by remotely monitoring soil conditions, automating irrigation, and detecting issues early. Challenges addressed include how to secure data and privacy while sharing agricultural data using blockchain. Overall, precision agriculture enabled by IoT is shown to reduce costs while improving output quality and sustainability by giving farmers better control and reducing waste.
This document describes an IoT-based smart irrigation system using sensors and an ESP32 microcontroller. The system collects data from temperature, humidity, soil moisture and water level sensors and controls a water pump. If the soil moisture drops below 30% and water level is above 50%, the pump will turn on for 10 seconds to water the plants. The sensor data is sent to a Blynk server via WiFi and can be monitored on a smartphone app. The system aims to automate irrigation for efficient watering based on real-time soil conditions.
Artificial Intelligence is one of the emerging technologies in the field of agriculture which tries to simulate human reasoning in intelligent systems. It is making a revolution in agriculture by replacing inefficient traditional methods with more efficient AI based methods. AI is used in agriculture in various ways such as automation, robots, drones, soil and crop monitoring, and predictive analytics. This paper provides various applications of AI tools in agriculture. Matthew N. O. Sadiku | Sarhan M. Musa | Abayomi Ajayi-Majebi "Artificial Intelligence in Agriculture" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-2 , February 2021, URL: https://www.ijtsrd.com/papers/ijtsrd38513.pdf Paper Url: https://www.ijtsrd.com/engineering/electrical-engineering/38513/artificial-intelligence-in-agriculture/matthew-n-o-sadiku
Design and Development of IoT and Cloud Based Smart Farming System for Optimu...ijtsrd
This document describes the design and development of an IoT and cloud-based smart farming system for optimal water utilization and better crop yields. The system uses soil moisture sensors to frequently monitor soil moisture levels and uploads the data to the cloud. Based on the soil moisture levels, a motor automatically switches the irrigation on or off to ensure crops are watered only when needed. This reduces human involvement and waste by optimizing water usage according to programmed threshold values. Farmers can access reports on their phone to view farm statistics anytime. The system aims to address issues with traditional irrigation methods and help farmers improve production through smart technology and data-driven water management.
Around 60“ 70% of populace in India rely on the Agriculture division. In India, the water management system used in agriculture is obsolete which is causing poor usage of water resources. In some places, faulty techniques are used which results in under-usage or over-usage of water which impacts on the production of crops and decreases the yield. Not only this, proper education or knowledge is not spread to the farmers which will help them increase their production and business by knowing information regarding the soil type and moisture content which is required for a particular crop. Giving modern touch to the agriculture methods is of utmost importance because of the need in agriculture and food for the people to survive. Use of far-reaching and profound technologies such as IoT and cloud computing for modernizing and improving the traditional/ long-established/ conventional agricultural methods can control the cost, maintenance and provide greater expertise regarding production, quality of seeds, fertilizers, weed, pest control and irrigation. The latest technology like configurable wireless networks, sensors, and other cloud computing resources can be used to build and establish sustainable cloud services for betterment of agriculture. Naren M S | Nishita K Murthy | Manjunath C R | Soumya K N"A Survey: Modernizing Agriculture in India" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd12934.pdf http://www.ijtsrd.com/computer-science/other/12934/a-survey-modernizing-agriculture-in-india/naren-m-s
An internet of things ecosystem for planting of coriander (Coriandrum sativum...IJECEIAES
The internet of things (IoT) is a network of physical devices and is becoming a major area of innovation for computer-based systems. Agriculture is one of the areas which could be improved by utilizing this technology ranging from farming techniques to production efficiency. The objective of this research is to design an IoT to monitor local vegetable (Coriander; Coriandrum sativum L.) growth via sensors (light, humidity, temperature, water level) and combine with an automated watering system. This would provide planters with the ability to monitor field conditions from anywhere at any time. In this research, a group of local vegetables including coriander, cilantro, and dill weed were experimented. The prototype system consists of several smart sensors to accurately monitor the mentioned vegetable growth from seedling stage to a fully grown plant which will ensure the highest production levels from any field environment. Three different types coriander were measured under these parameters: height, trunk width, and leaf width. The result showed that IoT ecosystem for planting different types of coriander could produce effective and efficient plant growth and ready for harvest with a shorter time than conventional method.
IOT has many applications in agriculture such as crop water management using soil moisture sensors, pest management using motion detecting PIR sensors, precision farming using sensors and drones, and livestock monitoring using sensors on wearables that track temperature, activity, and health indicators. IOT helps optimize resources like water, increase yields, and monitor livestock health remotely. However, challenges include infrastructure and connectivity issues, costs, and difficulties in implementation and data analysis for some farmers. Overall, IOT solutions have potential to increase agricultural sustainability and competitiveness.
Paul _smart_cultivation_by_remote_monitoringsujit Biswas
The document describes a proposed remote field monitoring and control system using IoT. Various sensors would collect data on temperature, moisture, radiation etc. and transmit it via LoRaWAN gateway to a server for analysis. Machine learning models would analyze the data to provide predictions and recommendations to farmers via a smartphone app. This would allow remote monitoring and control of irrigation, pesticide distribution and more for better farm management.
23 9150 survey of ict knowledge based agriculture dev edit septianIAESIJEECS
This document discusses the use of information and communication technologies (ICT) in agriculture. It provides an overview of how ICT can be applied to store and share agricultural data and information through databases, data warehousing, mobile technologies, and internet distribution. Examples of ICT applications mentioned include geographic information systems for precision agriculture, automated milking systems, sensor networks for remote crop monitoring, and knowledge management systems to disseminate information to farmers. The conclusion emphasizes how ICT-based approaches can help transform agricultural methods and support the distribution of best practices and innovations to stakeholders across the agricultural value chain.
IoF - Internet of Farms - How the digital revolution is changing the agricult...Product of Things
These are the slides from Izhar Gilad's workshop at Product of Things Conference in Tel Aviv on July 2018:
Who this workshop is for:
This workshop is for those who wish to understand how to sell ‘new’ products to an ‘old’ world by looking at how ‘traditional’ agriculture and other domains (IoT, Cars, and others) are changing, and what are the new opportunities emerging in the field
After this workshop you will be able to:
- Recognize opportunities in ‘traditional’ industries
- Understand the challenges of presenting innovative products to ‘traditional’ domains
- Foresee the challenges of launching a product in a conservative market
What is covered:
- Getting to know the threats and opportunities in IoF
- Catching up on the latest market dynamics and trends
- Learning the best practices and extensive GTM knowhow, in cracking the way for a successful product launch
In this workshop, Izhar will share his unique perspective on the challenges of introducing new technologies into the ‘traditional’ field of agriculture, that only someone that grew and breathed ‘traditional’ agriculture his entire life has.
This document describes an IOT system developed to help farmers improve decision making for agriculture. Sensors are used to measure field parameters like temperature, humidity, and soil moisture. This data is stored on a server and analyzed to calculate crop water requirements using the Penman-Monteith algorithm and recommend fertilizers based on soil NPK values. The system also generates irrigation schedules based on inputs like sowing date and soil moisture. It is implemented locally to provide analytics and insights to improve profits by optimizing water and energy use through better irrigation planning.
A session on "Digitalization of Agriculture" at Entrepreneurship Conclave organized by Shailesh J. Mehta School of Management, Indian Institute of Technology Bombay.
IoT and Big Data an Enabler in Climate Smart AgricultureDassana Wijesekara
Climate change is causing unpredictable weather patterns that threaten agriculture. Climate-smart agriculture (CSA) helps farming adapt to and mitigate climate change to ensure food security. An IoT sensor network can sense local conditions, analyze big data using edge computing, and predict weather to help farming adapt through a continuous feedback loop. Open data standards and an e-government platform can further support CSA goals.
IRJET - Farm Field Monitoring Using IoT-A Survey PaperIRJET Journal
This document discusses using IoT technology to monitor farm fields. It reviews several existing research papers on IoT-based farm monitoring systems that use sensors to measure soil moisture, temperature, humidity and other factors. However, many of these systems have limitations such as high costs, lack of scalability, and sensors that cannot withstand harsh agricultural field conditions. The document proposes a new IoT farm monitoring system with sensors connected to a microcontroller and cloud platform. This would allow farmers to monitor field conditions remotely using a mobile app or LCD display and receive notifications. The system aims to help farmers increase crop yields while reducing water waste and crop losses.
This document discusses how artificial intelligence can be used in agriculture to address challenges of increasing global food demand. It outlines how AI is being applied to automate farming activities, identify plant diseases, monitor crop quality and environmental factors. Specific AI applications mentioned include using machine learning on drone and satellite images to predict weather, analyze crop health and detect pests or deficiencies. Autonomous tractors and irrigation systems are discussed as ways AI can make farming more efficient by performing tasks with less labor and optimizing resource use. The conclusion states that AI can help resolve resource scarcity and complement farmer decision making to help feed a growing global population.
The document discusses the concept of Internet of Things (IoT) and its applications in agriculture. It defines IoT and describes how physical objects can be connected to collect and exchange data. Some key applications of IoT in agriculture mentioned include monitoring soil moisture and temperature for controlled irrigation, livestock monitoring, pest monitoring, and mobile money transfers. However, constraints for implementing IoT in Indian agriculture include small land holdings, connectivity and affordability issues. Some case studies on precision agriculture and reducing water usage through IoT are also summarized.
Artificial Intelligence is an approach to make a computer, a robot, or a product to think about how smart humans think. AI is a study of how the human brain thinks, learns, decides and work when it tries to solve problems. And finally, this study outputs intelligent software systems. The aim of AI is to improve computer functions that are related to human knowledge, for example, reasoning, learning, and problem-solving.
The Latest Trends In The IoT Based Smart Agriculture Industry In 2021 UbiBot
The fourth industrial revolution will be dominated by technology and we can find AI (Artificial Intelligence) and the Internet Of Things finding their role in every industry. We all are well-aware of the fact that smart farming is the only way with which farmers can meet the growing global food demands. The wireless humidity sensor and industrial wireless sensors have become a common term in a farmer’s life.
UbiBot’s specializes in providing access to your IoT data wherever and whenever you need. We offer products @ IoT big data platform as well as wireless smart sensors . We have WiFi and GPRS enabled sensors that meant for data monitoring and helpful in bringing high quality IoT gateways.
A review of the literature on IOT-based smart agriculture monitoring and cont...IRJET Journal
This document summarizes 10 research papers on IoT-based smart agriculture systems. The papers discuss how IoT technologies like sensors, drones, and automation can increase farming efficiency by remotely monitoring soil conditions, automating irrigation, and detecting issues early. Challenges addressed include how to secure data and privacy while sharing agricultural data using blockchain. Overall, precision agriculture enabled by IoT is shown to reduce costs while improving output quality and sustainability by giving farmers better control and reducing waste.
This document describes an IoT-based smart irrigation system using sensors and an ESP32 microcontroller. The system collects data from temperature, humidity, soil moisture and water level sensors and controls a water pump. If the soil moisture drops below 30% and water level is above 50%, the pump will turn on for 10 seconds to water the plants. The sensor data is sent to a Blynk server via WiFi and can be monitored on a smartphone app. The system aims to automate irrigation for efficient watering based on real-time soil conditions.
A Review Paper on Optimize Yield Production Using Data from SensorsIRJET Journal
This document reviews the use of sensors and IoT technologies to optimize agricultural crop yields through precision farming. It discusses how precision farming aims to provide crops with optimal resources like water and fertilizer. Several studies that used sensors to monitor soil parameters like moisture, temperature and humidity are summarized. Wireless sensor networks are shown to effectively monitor greenhouse conditions. System architectures are proposed that collect sensor data and use it to control actuators and make recommendations to farmers. The conclusion is that precision farming enabled by IoT can help manage field variations, grow more food efficiently and reduce costs through accurate monitoring and control of key growing parameters.
Role of IOT in introducing Smart AgricultureIRJET Journal
This document discusses the role of the Internet of Things (IoT) in introducing smart agriculture. It begins by defining IoT as machine-to-machine communications and notes its importance in digital growth. The document then discusses how IoT can improve agricultural performance and productivity through applications like precision agriculture and intelligent greenhouses. It analyzes hardware platforms, communication standards, and cloud services that enable IoT in agriculture. Finally, the document outlines benefits of IoT in agriculture like remote crop monitoring, automated environmental control, and supply chain traceability. In summary, the document examines how IoT sensors and devices are enabling smart and efficient agricultural practices through remote monitoring and automation.
IRJET - IoT based Mobile App for E-Farming using Decision Support System Irri...IRJET Journal
This document describes a proposed mobile app for e-farming using an Internet of Things (IOT) based decision support system for irrigation (DSSI) algorithm. The system would use soil moisture, temperature, and humidity sensors to collect environmental data and monitor crop conditions. The sensor data would be sent to a web panel via IOT and the DSSI algorithm would activate or deactivate irrigation accordingly. The goal is to help farmers remotely monitor fields and automate irrigation for optimal crop yields using precision agriculture techniques with IOT.
IRJET- End to End Analysis of Agronomy using IoT and BigdataIRJET Journal
This document proposes using IoT and big data technology for end-to-end analysis of agronomy. Sensors would collect soil, temperature, and humidity data from agricultural fields and send it to be analyzed. This data analysis could help take preventative measures against crop loss and increase productivity. Specifically, the proposed system uses sensors connected to an Arduino microcontroller to remotely monitor fields and store the sensor data in the cloud using IoT. This allows for analysis of the data to monitor plant conditions and improve agronomy practices.
The document discusses the development of a smart agriculture system using IoT. Various sensors are used to collect environmental data like soil moisture, temperature, and humidity. The data is sent to a Raspberry Pi gateway and then stored on the cloud. Farmers can monitor the data through a mobile app. If the soil moisture is low, farmers are notified and can turn on motors to supply water. When moisture levels are adequate, they can turn off the motors. The system aims to increase crop yields while reducing water usage.
Next Gen Farming: IoT in Smart Irrigation SystemIRJET Journal
The document discusses how Internet of Things (IoT) technologies like sensors, cloud computing, and big data analytics can be applied to create a smart irrigation system for agriculture that efficiently manages water usage. It proposes a system where soil moisture and other sensors collect real-time data, which is sent to the cloud for analysis to determine exact water requirements. This data and analysis would then be used to automate irrigation through a mobile app interface, improving crop yields while optimizing limited water resources.
IRJET- IoT based Cultivation using AurdinoIRJET Journal
This document describes an IoT-based smart farming system using Arduino that monitors soil conditions. The system uses sensors to measure temperature, humidity, pH levels, and detects movement. If sensor readings are abnormal, a GSM module sends alerts to the farmer's phone. This automation helps farmers more efficiently monitor crops and respond to issues in real-time, improving yields and reducing costs compared to traditional farming. The system is a cost-effective solution that saves farmers money in the long run through increased profits.
An Architectural design proposal for IoT in AgricultureIJSRED
The document presents an architectural design proposal for using IoT in agriculture. It proposes a low-cost IoT-enabled smart agricultural system that can evaluate farmland conditions like humidity and soil moisture to predict the best crop for that land. The system involves sensors to collect local data on the land which is then analyzed on an IoT platform to make crop predictions using decision tree algorithms. This aims to increase agricultural productivity while maintaining environmental sustainability through precision agriculture techniques enabled by IoT sensor technology.
IoT based Smart Agriculture Monitoring SystemIRJET Journal
This document proposes an IoT-based smart agriculture monitoring system that uses sensors to measure temperature, humidity, and soil moisture levels. The sensor data is transmitted to an IoT platform via WiFi using an ESP32 microcontroller. A mobile app allows farmers to control a robotic system's movements in real-time via Bluetooth to optimize resource usage and prevent crop loss. The system has the potential to improve crop yields while reducing waste and environmental impacts.
1) The document discusses various Internet of Things (IoT) based digital agriculture monitoring systems that have been developed by researchers to optimize resource utilization and increase crop production.
2) It describes different technologies like Bluetooth, Zigbee, GSM, WiFi that have been used to monitor agriculture parameters such as temperature, moisture, humidity and communicate this sensor data to monitoring systems.
3) The paper also proposes a new IoT monitoring system using sensors to measure temperature, soil moisture and humidity, an ESP8266 WiFi module to transmit data to the cloud, and a user interface to view environmental parameter graphs remotely.
Solar Powered Smart Agriculture Systems Using WSN Via IoTIRJET Journal
The document describes a proposed solar-powered smart agriculture system using wireless sensor networks and the Internet of Things. Sensors would monitor soil moisture, water level, humidity, temperature, and other crop/field conditions. A NodeMCU microcontroller would collect sensor data and send it via the cloud to a mobile app for farmers to monitor in real-time. This would help farmers optimize crop yields, efficiency, and reduce stress on farmers by automating some agriculture tasks. The system is intended to advance smart agriculture using renewable energy and modern technologies.
IRJET- Analysis of IoT based Wireless Sensors for Environmental Monitorin...IRJET Journal
1) The document describes an IoT-based system using wireless sensors for environmental monitoring and irrigation control in agriculture.
2) The system uses a Raspberry Pi connected to soil moisture, light intensity, CO2, SO2, and other sensors to automatically control a solenoidal valve and irrigation based on sensor readings.
3) By monitoring soil moisture, light, and air quality, the system aims to optimize water usage and ensure healthy plant growth through smart and automated irrigation management.
IRJET- The Future of Farming through the IoT PerspectiveIRJET Journal
The document discusses how Internet of Things (IoT) technologies can help address problems in traditional Indian farming. It presents a literature review of previous work on applying IoT sensors and devices to areas like irrigation control, environmental monitoring, and precision agriculture. The research gap identified is the lack of a system to provide farmers with real-time information on suitable farming conditions. An architecture is proposed to collect unstructured sensor data, process it into a structured format, apply data mining techniques to extract useful insights, and make this information available to farmers to help predict optimal times for activities like planting and irrigation. This could help increase productivity by allowing farmers to make decisions based on accurate, real-time data rather than traditional methods.
This document describes a smart and live agriculture system using IoT technologies. It measures various agricultural parameters like temperature, soil moisture, etc. using sensors and transmits the data wirelessly via NodeMCU to a cloud platform called ThingSpeak. ThingSpeak allows analyzing and visualizing the sensor data. The system then uses the analyzed data to make decisions about irrigation. It aims to optimize water usage, increase crop yields, and allow farmers to monitor fields remotely through a mobile app in real-time. The system could help address issues in agriculture like water scarcity and increase food production to meet growing demand.
IRJET- Water Management in Agricultural Field using IoTIRJET Journal
This document proposes a system to monitor crop fields using IoT sensors for soil moisture, humidity, and temperature. Sensors would collect this environmental data from the agricultural field and share it over the Internet. An automated irrigation system could then be controlled based on the soil moisture readings, irrigating only when moisture is low. This smart agriculture system aims to minimize costs, reduce time/effort for farmers, and conserve water and energy resources through automated irrigation based on real-time sensor data.
Internet of Things (IoT) is the internetworking of physical devices. This system has the ability to transfer data over a network. Mostly without requiring human intervention.Internet-connected to the physical world via ubiquitous sensors.
It is connecting each and everything to the internet.
IRJET- Review Paper on Agricultural Drought and Crop Failure Data Acquisi...IRJET Journal
This document reviews a proposed system for agricultural drought and crop failure data acquisition and transmission using IoT. The key points are:
1. The system would use sensors like soil moisture, humidity, and temperature sensors connected to a PIC microcontroller to collect field data and compare it to weather forecasts to detect drought and potential crop failures.
2. The data would be transmitted wirelessly via an ESP8266 WiFi module. This would allow automatic monitoring of fields and alerts to farmers about issues that require attention.
3. Implementing such a smart agriculture system using IoT technologies could help optimize resource use, increase yields, and minimize the impacts of climate change on agricultural production.
Internet of Things Hydroponics Agriculture (IoTHA) Using Web/Mobile ApplicationsIRJET Journal
This document discusses using Internet of Things (IoT) technology to develop an automated hydroponics system using web and mobile applications. The system would monitor and control nutritional and environmental parameters to optimize plant growth without soil. Specifically, it details a study that developed an IoT-driven hydroponics testbed to cultivate tomatoes and collect data on their nutrient requirements and productivity. The results showed the plants grew well based on computer vision and visual analysis. Adopting this type of hydroponics farming using IoT could help address limited agricultural land and increase production capacity by allowing year-round farming.
Similar to IRJET- Implementation & Testing of Soil Analysis in Cultivation Land using IoT (20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...University of Maribor
Slides from talk presenting:
Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking.
Presentation at IcETRAN 2024 session:
"Inter-Society Networking Panel GRSS/MTT-S/CIS
Panel Session: Promoting Connection and Cooperation"
IEEE Slovenia GRSS
IEEE Serbia and Montenegro MTT-S
IEEE Slovenia CIS
11TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTING ENGINEERING
3-6 June 2024, Niš, Serbia
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network