This document describes a smart agriculture system that uses IoT technology and a GSM module to automatically irrigate crops. Sensors monitor soil moisture levels, humidity, and rainfall and send the data via an Arduino board and GSM module to farmers' phones. Farmers can also control irrigation by sending commands via call or text to turn a motor and relay on or off. The system aims to optimize water usage, reduce labor costs, and increase crop yields using low-cost, product-based technology without internet dependence.
IoT based Digital Agriculture Monitoring System and Their Impact on Optimal U...Journal For Research
Although precision agriculture has been adopted in few countries, the greenhouse based modern agriculture industry in India still needs to be modernized with the involvement of technology for better production and cost control. In this paper we proposed a multifunction model for smart agriculture based on IoT. Due to variable atmospheric circumstances these conditions sometimes may vary from place to place in large farmhouse, which makes very difficult to maintain the uniform condition at all the places in the farmhouse manually. Soil and environment properties are sensed and periodically sent to cloud network through IoT. Analysis on cloud data is done for water requirement, total production and maintaining uniform environment conditions throughout greenhouse farm. Proposed model is beneficial for increase in agricultural production and for cost control and real time monitoring of farm.
IOT AND ARTIFICIAL INTELLIGENCE BASED SMART GARDENING AND IRRIGATION SYSTEM.pdfSamira Akter Tumpa
The IoT and Artificial Intelligence based smart gardening and irrigation system is a modern approach to gardening that leverages technology to optimize and automate various aspects of garden maintenance. This system combines the power of IoT devices, such as sensors and actuators, with artificial intelligence algorithms to create an intelligent and efficient gardening solution.
The system begins with a network of sensors strategically placed throughout the garden. These sensors can monitor important environmental variables such as soil moisture levels, temperature, humidity, light intensity, and even nutrient levels. The data collected by these sensors is then transmitted to a central hub or cloud-based platform for analysis.
Artificial intelligence algorithms come into play here, as they process the collected data and make informed decisions about watering schedules, fertilization, and other necessary actions. By analyzing the environmental data, the system can determine when and how much water to provide to the plants, ensuring optimal hydration without wastage.
The smart irrigation component of the system consists of automated valves or sprinklers that are connected to the network. These valves can be remotely controlled or operated automatically based on the instructions from the AI algorithms. This allows for precise and efficient water delivery to specific areas of the garden, avoiding overwatering and water runoff.
Additionally, the AI algorithms can take into account weather forecasts and historical data to adjust the watering schedule accordingly. For example, if rain is predicted, the system may delay or reduce the watering to prevent excessive moisture.
The IoT and AI-based smart gardening system also includes features to monitor plant health and detect diseases or pest infestations. Image recognition algorithms can analyze images of plants to identify any signs of distress or diseases. This early detection allows for prompt intervention and treatment, improving plant health and yield.
Moreover, the system can be integrated with mobile applications or web interfaces, enabling gardeners to monitor and control their gardens remotely. They can receive real-time updates on environmental conditions, irrigation schedules, and even receive notifications or alerts if any issues arise.
Overall, the IoT and Artificial Intelligence based smart gardening and irrigation system revolutionizes traditional gardening practices by optimizing resource usage, improving plant health, and reducing manual intervention. It provides an intelligent, efficient, and sustainable approach to gardening, making it easier for gardeners to maintain lush and healthy gardens while conserving water and minimizing waste.
IoT based Digital Agriculture Monitoring System and Their Impact on Optimal U...Journal For Research
Although precision agriculture has been adopted in few countries, the greenhouse based modern agriculture industry in India still needs to be modernized with the involvement of technology for better production and cost control. In this paper we proposed a multifunction model for smart agriculture based on IoT. Due to variable atmospheric circumstances these conditions sometimes may vary from place to place in large farmhouse, which makes very difficult to maintain the uniform condition at all the places in the farmhouse manually. Soil and environment properties are sensed and periodically sent to cloud network through IoT. Analysis on cloud data is done for water requirement, total production and maintaining uniform environment conditions throughout greenhouse farm. Proposed model is beneficial for increase in agricultural production and for cost control and real time monitoring of farm.
IOT AND ARTIFICIAL INTELLIGENCE BASED SMART GARDENING AND IRRIGATION SYSTEM.pdfSamira Akter Tumpa
The IoT and Artificial Intelligence based smart gardening and irrigation system is a modern approach to gardening that leverages technology to optimize and automate various aspects of garden maintenance. This system combines the power of IoT devices, such as sensors and actuators, with artificial intelligence algorithms to create an intelligent and efficient gardening solution.
The system begins with a network of sensors strategically placed throughout the garden. These sensors can monitor important environmental variables such as soil moisture levels, temperature, humidity, light intensity, and even nutrient levels. The data collected by these sensors is then transmitted to a central hub or cloud-based platform for analysis.
Artificial intelligence algorithms come into play here, as they process the collected data and make informed decisions about watering schedules, fertilization, and other necessary actions. By analyzing the environmental data, the system can determine when and how much water to provide to the plants, ensuring optimal hydration without wastage.
The smart irrigation component of the system consists of automated valves or sprinklers that are connected to the network. These valves can be remotely controlled or operated automatically based on the instructions from the AI algorithms. This allows for precise and efficient water delivery to specific areas of the garden, avoiding overwatering and water runoff.
Additionally, the AI algorithms can take into account weather forecasts and historical data to adjust the watering schedule accordingly. For example, if rain is predicted, the system may delay or reduce the watering to prevent excessive moisture.
The IoT and AI-based smart gardening system also includes features to monitor plant health and detect diseases or pest infestations. Image recognition algorithms can analyze images of plants to identify any signs of distress or diseases. This early detection allows for prompt intervention and treatment, improving plant health and yield.
Moreover, the system can be integrated with mobile applications or web interfaces, enabling gardeners to monitor and control their gardens remotely. They can receive real-time updates on environmental conditions, irrigation schedules, and even receive notifications or alerts if any issues arise.
Overall, the IoT and Artificial Intelligence based smart gardening and irrigation system revolutionizes traditional gardening practices by optimizing resource usage, improving plant health, and reducing manual intervention. It provides an intelligent, efficient, and sustainable approach to gardening, making it easier for gardeners to maintain lush and healthy gardens while conserving water and minimizing waste.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Quality defects in TMT Bars, Possible causes and Potential Solutions.PrashantGoswami42
Maintaining high-quality standards in the production of TMT bars is crucial for ensuring structural integrity in construction. Addressing common defects through careful monitoring, standardized processes, and advanced technology can significantly improve the quality of TMT bars. Continuous training and adherence to quality control measures will also play a pivotal role in minimizing these defects.
Vaccine management system project report documentation..pdfKamal Acharya
The Division of Vaccine and Immunization is facing increasing difficulty monitoring vaccines and other commodities distribution once they have been distributed from the national stores. With the introduction of new vaccines, more challenges have been anticipated with this additions posing serious threat to the already over strained vaccine supply chain system in Kenya.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.