1) Artificial intelligence (AI) and precision agriculture technologies can help farmers increase crop yields, improve efficiency, and monitor crop and soil health through tools like agricultural robots, computer vision systems, and predictive analytics.
2) Examples of AI applications discussed include weed detection and selective spraying robots, crop harvesting robots, and plant disease identification apps.
3) While AI shows promise for agriculture, challenges remain around obtaining sufficient training data, cost, and ensuring solutions are robust enough to handle unpredictable field conditions.
Artificial Intelligence In Agriculture & Its Status in IndiaJanhviTripathi
Worldwide, agriculture is a $5 trillion industry, and with the ever increasing population, the world will need to produce 50% more food by 2050 which cannot be accomplished with the percentage of land under cultivation. Factors such as climate change, population growth and food security concerns have propelled the industry into seeking more innovative approaches to protecting and improving crop yield. As a result, Artificial Intelligence is steadily emerging as part of the industry’s technological evolution which help can help farmers get more from the land while using resources more sustainably, yielding healthier crops, control pests, monitor soil, help with workload, etc
*All the media belongs to the respective owners*
Contact me for further queries & discussions...
Basic knowledge of application of computers in agriculturejatinder pal singh
Computer use among agro-meteorologists, agronomists and other agricultural professionals has risen rapidly in the past decade.
The application of the computer in agriculture research originally exploited for the conversion of statistical formula or complex model in digital farm for easy and accurate calculation which are found relatively tedious in the manual calculation.
Artificial intelligence : Basics and application in AgricultureAditi Chourasia
Agriculture is the mainstay of Indian economy as about 60% of our population depends directly or indirectly on agriculture.Exploration of technology in digital world gave birth to a whole new field of making intelligent machines i.e. Artificial intelligence (AI). AI is making a huge impact in all domains of the industry. Every industry looking to automate certain jobs through the use of intelligent machinery. Factors such as climate change, population growth and food security concerns have propelled the industry into seeking more innovative approaches to protecting and improving crop yield. As a result, AI is steadily emerging as part of the Agricultural industry’s technological evolution. The automation in agriculture is the main concern and the emerging subject across the world. AI in agriculture not only helping farmers to automate their farming but also shifts to precise cultivation for higher crop yield and better quality while using fewer resources.Technological advancement in the future will provide more useful applications to the sector helping the world deal with various farming challenges used to be faced in traditional agricultural practices.
The use of technology and artificial intelligence in agriculture is more common every day. In Summar Financial we focus our efforts on helping the United States leading companies to expand the market. Join us and ask for our finance programs!
Artificial Intelligence In Agriculture & Its Status in IndiaJanhviTripathi
Worldwide, agriculture is a $5 trillion industry, and with the ever increasing population, the world will need to produce 50% more food by 2050 which cannot be accomplished with the percentage of land under cultivation. Factors such as climate change, population growth and food security concerns have propelled the industry into seeking more innovative approaches to protecting and improving crop yield. As a result, Artificial Intelligence is steadily emerging as part of the industry’s technological evolution which help can help farmers get more from the land while using resources more sustainably, yielding healthier crops, control pests, monitor soil, help with workload, etc
*All the media belongs to the respective owners*
Contact me for further queries & discussions...
Basic knowledge of application of computers in agriculturejatinder pal singh
Computer use among agro-meteorologists, agronomists and other agricultural professionals has risen rapidly in the past decade.
The application of the computer in agriculture research originally exploited for the conversion of statistical formula or complex model in digital farm for easy and accurate calculation which are found relatively tedious in the manual calculation.
Artificial intelligence : Basics and application in AgricultureAditi Chourasia
Agriculture is the mainstay of Indian economy as about 60% of our population depends directly or indirectly on agriculture.Exploration of technology in digital world gave birth to a whole new field of making intelligent machines i.e. Artificial intelligence (AI). AI is making a huge impact in all domains of the industry. Every industry looking to automate certain jobs through the use of intelligent machinery. Factors such as climate change, population growth and food security concerns have propelled the industry into seeking more innovative approaches to protecting and improving crop yield. As a result, AI is steadily emerging as part of the Agricultural industry’s technological evolution. The automation in agriculture is the main concern and the emerging subject across the world. AI in agriculture not only helping farmers to automate their farming but also shifts to precise cultivation for higher crop yield and better quality while using fewer resources.Technological advancement in the future will provide more useful applications to the sector helping the world deal with various farming challenges used to be faced in traditional agricultural practices.
The use of technology and artificial intelligence in agriculture is more common every day. In Summar Financial we focus our efforts on helping the United States leading companies to expand the market. Join us and ask for our finance programs!
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
Agro IR 4.0-smart and next generation agro-farming-Fab labs to make anythingAbulHasnatSolaiman
Agriculture 4.0 is a term for the next big trends facing the industry, including a greater focus on precision agriculture, the internet of things (IoT) and the use of big data to drive greater business efficiencies in the face of rising populations and climate change. Makerspaces or Fab labs around the world can contribute in big margin to make prototypes reducing cost and makerspaces will be actions towards IR 4.0 in Bangladesh
ICAR initiatives on Application of Artificial Intelligence and Internet of Th...Sudhir Kumar Soam
The National Academy of Agricultural Research Management, Hyderabad, India conducted several workshops and developed policy brief as part of ICAR initiatives on Application of Artificial Intelligence and Internet of Things in Agriculture
23 9150 survey of ict knowledge based agriculture dev edit septianIAESIJEECS
E-agriculture gives to applying new things to use ICTs in the country, with the main heart on agricultural. ICT in Agriculture provides a wide range of solutions to some farming ideas. The rising field focuses on the development of agricultural and rural advance through improved information and communication. This time, ICT is used as around all information and communication developments including Android mobiles, IOT devices, communication networking devices, web services; this variety from original Internet-era technologies and sensors to other pre-accessible aids such as TV, satellites, and radios. This technique continues to evolve in scope as new ICT applications continue to be harnessed in the agriculture industries. It involves the concept, development, design, application, and evaluation of novel ways to use ICTs in the rural domain, with the main focus on cultivation. This includes principles, norms, methods, and apparatus as well as the growth of personality and institutional capacity, and policy hold is all key mechanism of e-agriculture.
Artificial Intelligence in Agricultural R&D: Issues related to capacity buildingSudhir Kumar Soam
Use of AI and IoT in agricultural research and educational organisations. Describe underlying concepts of Artificial intelligence and mandatory requirements to build up the capabilities of the people
Design and Development of IoT and Cloud Based Smart Farming System for Optimu...ijtsrd
"India is a land of farmers Agriculture plays major role in the economical development and growth of our country, it contributes nearly 17 18 of total GDP according to 2017 18 economic survey .It acts as the main source of employment for 60 of the population. Nearly 70 of rural households and farmers depends upon the agriculture .Indian farming relies on either rain fed farming or irrigation system for the water usages in agriculture , very less states and places of our country falls under rain –fed farming where as maximum farming is dependent on Irrigation system but the availability of water resources in our country for agriculture is very less hence there is a need of water conservation for better yield and maximise the cost of production . Most of the framers are using old irrigation systems like Drip irrigation, micro irrigation, sprinklers, pivot etc to reduce the utilisation of water .They still follow the traditional methods of watering the crops thereby watering the crops unevenly, sometimes they may water the crops less or more or sometimes unnecessarily this may lead to wastage of water and soil moisture level may decrease. In the proposed smart agricultural system the researcher focuses to overcome the problems in this traditional irrigation systems used for agriculture by implementing the IoT and cloud is .In this system various vegetable crops and soil samples with different moisture level are considered and sensors are placed in the fields that provides soil moisture levels as input to the aurduino uno and this uploads the soil moisture levels frequently to the cloud through internet and WIFI module and depending upon these soil moisture levels the motor switches to ON OFF state there by watering the crops only when the soil becomes dry at certain level according to threshold values programmed in the Microcontroller. This system works with very less human involvements .The farm statistical report can be viewed by the farmer anytime on the App , thereby making optimal utilization of water for better crop yield S. A. Nagaonkar | Dr. S. D. Bhoite | 30129 ""Design and Development of IoT and Cloud Based Smart Farming System for Optimum Water Utilization for Better Yield"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Fostering Innovation, Integration and Inclusion Through Interdisciplinary Practices in Management , March 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23066.pdf
Paper URL: https://www.ijtsrd.com/computer-science/other/23066/design-and-development-of-iot-and-cloud-based-smart-farming-system-for-optimum-water-utilization-for-better-yield/s-a-nagaonkar"
Using IoT as well as GSM, a whole new concept of farming using networks is introduced reducing labor, updating farmers about the live conditions of farms on mobile devices, and presenting its graphical values.
It makes the process handy with the click of a button.
precision mean â€the quality of being clear or exactâ€. Farmer tries hard to get the result but we need the smart way and result oriented. The history of India's development has been inexorably linked to that of its farmers, and the nation's growth with that of its agronomics. Agronomics provides highest contribution to nation income. Agronomics needed top most priority because the Government and the nation would both fail to succeed if agronomics could not be successful. Today we are living in 21st century where automation is playing significant role in human life. Automation allows us to control appliances automatic control. Today industries are using automation and control machine which is high in cost and not suitable for using in a field. So as to help both government and our farmer, we can use intelligent irrigation techniques with the use of IoT internet of things and by building network of farmer and agriculturist to share their ideas and experience, as a full fledged force solution to the need .this can be easily done by organizing and analysing the live and collected over time data ,allowing farmers to take pre emptive action for healthy harvest of their crops collecting live data using sensors which are placed across the land further sent to the cloud further under taking predictive analytics to enhance crops nutrition thus using predictive analysis on data to find better solution. The IoT connected devices stream live data on the land allowing data informed decisions on planning the resources and harvesting of farm. Kartikeya Bhatia | Devendra Duda ""Precision Farming"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd22793.pdf
Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/22793/precision-farming/kartikeya-bhatia
A confluence of factors have converged to afford the opportunity to apply data science at large scale to agricultural production. The demand for agricultural outputs is growing and there is a need to meet this demand by utilizing increasingly mechanized precision agriculture and enormous data volumes collected to intelligently optimize agriculture outputs. We will consider the machine learning challenges related to optimizing global food production.
A session on "Digitalization of Agriculture" at Entrepreneurship Conclave organized by Shailesh J. Mehta School of Management, Indian Institute of Technology Bombay.
Internet of Things ( IOT) in AgricultureAmey Khebade
Application of IOT in Agriculture
Monitoring soil moisture and temperature
Controlled irrigation
Efficient usage of input like water, fertilizers, pesticides, etc
Reduced cost of production
Connected greenhouses and stables
Livestock monitoring
Download PPT for better design and animation
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.
An effective identification of crop diseases using faster region based convol...IJECEIAES
The majority of research Study is moving towards cognitive computing, ubiquitous computing, internet of things (IoT) which focus on some of the real time applications like smart cities, smart agriculture, wearable smart devices. The objective of the research in this paper is to integrate the image processing strategies to the smart agriculture techniques to help the farmers to use the latest innovations of technology in order to resolve the issues of crops like infections or diseases to their crops which may be due to bugs or due to climatic conditions or may be due to soil consistency. As IoT is playing a crucial role in smart agriculture, the concept of infection recognition using object recognition the image processing strategy can help out the farmers greatly without making them to learn much about the technology and also helps them to sort out the issues with respect to crop. In this paper, an attempt of integrating kissan application with expert systems and image processing is made in order to help the farmers to have an immediate solution for the problem identified in a crop.
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
Agro IR 4.0-smart and next generation agro-farming-Fab labs to make anythingAbulHasnatSolaiman
Agriculture 4.0 is a term for the next big trends facing the industry, including a greater focus on precision agriculture, the internet of things (IoT) and the use of big data to drive greater business efficiencies in the face of rising populations and climate change. Makerspaces or Fab labs around the world can contribute in big margin to make prototypes reducing cost and makerspaces will be actions towards IR 4.0 in Bangladesh
ICAR initiatives on Application of Artificial Intelligence and Internet of Th...Sudhir Kumar Soam
The National Academy of Agricultural Research Management, Hyderabad, India conducted several workshops and developed policy brief as part of ICAR initiatives on Application of Artificial Intelligence and Internet of Things in Agriculture
23 9150 survey of ict knowledge based agriculture dev edit septianIAESIJEECS
E-agriculture gives to applying new things to use ICTs in the country, with the main heart on agricultural. ICT in Agriculture provides a wide range of solutions to some farming ideas. The rising field focuses on the development of agricultural and rural advance through improved information and communication. This time, ICT is used as around all information and communication developments including Android mobiles, IOT devices, communication networking devices, web services; this variety from original Internet-era technologies and sensors to other pre-accessible aids such as TV, satellites, and radios. This technique continues to evolve in scope as new ICT applications continue to be harnessed in the agriculture industries. It involves the concept, development, design, application, and evaluation of novel ways to use ICTs in the rural domain, with the main focus on cultivation. This includes principles, norms, methods, and apparatus as well as the growth of personality and institutional capacity, and policy hold is all key mechanism of e-agriculture.
Artificial Intelligence in Agricultural R&D: Issues related to capacity buildingSudhir Kumar Soam
Use of AI and IoT in agricultural research and educational organisations. Describe underlying concepts of Artificial intelligence and mandatory requirements to build up the capabilities of the people
Design and Development of IoT and Cloud Based Smart Farming System for Optimu...ijtsrd
"India is a land of farmers Agriculture plays major role in the economical development and growth of our country, it contributes nearly 17 18 of total GDP according to 2017 18 economic survey .It acts as the main source of employment for 60 of the population. Nearly 70 of rural households and farmers depends upon the agriculture .Indian farming relies on either rain fed farming or irrigation system for the water usages in agriculture , very less states and places of our country falls under rain –fed farming where as maximum farming is dependent on Irrigation system but the availability of water resources in our country for agriculture is very less hence there is a need of water conservation for better yield and maximise the cost of production . Most of the framers are using old irrigation systems like Drip irrigation, micro irrigation, sprinklers, pivot etc to reduce the utilisation of water .They still follow the traditional methods of watering the crops thereby watering the crops unevenly, sometimes they may water the crops less or more or sometimes unnecessarily this may lead to wastage of water and soil moisture level may decrease. In the proposed smart agricultural system the researcher focuses to overcome the problems in this traditional irrigation systems used for agriculture by implementing the IoT and cloud is .In this system various vegetable crops and soil samples with different moisture level are considered and sensors are placed in the fields that provides soil moisture levels as input to the aurduino uno and this uploads the soil moisture levels frequently to the cloud through internet and WIFI module and depending upon these soil moisture levels the motor switches to ON OFF state there by watering the crops only when the soil becomes dry at certain level according to threshold values programmed in the Microcontroller. This system works with very less human involvements .The farm statistical report can be viewed by the farmer anytime on the App , thereby making optimal utilization of water for better crop yield S. A. Nagaonkar | Dr. S. D. Bhoite | 30129 ""Design and Development of IoT and Cloud Based Smart Farming System for Optimum Water Utilization for Better Yield"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Fostering Innovation, Integration and Inclusion Through Interdisciplinary Practices in Management , March 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23066.pdf
Paper URL: https://www.ijtsrd.com/computer-science/other/23066/design-and-development-of-iot-and-cloud-based-smart-farming-system-for-optimum-water-utilization-for-better-yield/s-a-nagaonkar"
Using IoT as well as GSM, a whole new concept of farming using networks is introduced reducing labor, updating farmers about the live conditions of farms on mobile devices, and presenting its graphical values.
It makes the process handy with the click of a button.
precision mean â€the quality of being clear or exactâ€. Farmer tries hard to get the result but we need the smart way and result oriented. The history of India's development has been inexorably linked to that of its farmers, and the nation's growth with that of its agronomics. Agronomics provides highest contribution to nation income. Agronomics needed top most priority because the Government and the nation would both fail to succeed if agronomics could not be successful. Today we are living in 21st century where automation is playing significant role in human life. Automation allows us to control appliances automatic control. Today industries are using automation and control machine which is high in cost and not suitable for using in a field. So as to help both government and our farmer, we can use intelligent irrigation techniques with the use of IoT internet of things and by building network of farmer and agriculturist to share their ideas and experience, as a full fledged force solution to the need .this can be easily done by organizing and analysing the live and collected over time data ,allowing farmers to take pre emptive action for healthy harvest of their crops collecting live data using sensors which are placed across the land further sent to the cloud further under taking predictive analytics to enhance crops nutrition thus using predictive analysis on data to find better solution. The IoT connected devices stream live data on the land allowing data informed decisions on planning the resources and harvesting of farm. Kartikeya Bhatia | Devendra Duda ""Precision Farming"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd22793.pdf
Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/22793/precision-farming/kartikeya-bhatia
A confluence of factors have converged to afford the opportunity to apply data science at large scale to agricultural production. The demand for agricultural outputs is growing and there is a need to meet this demand by utilizing increasingly mechanized precision agriculture and enormous data volumes collected to intelligently optimize agriculture outputs. We will consider the machine learning challenges related to optimizing global food production.
A session on "Digitalization of Agriculture" at Entrepreneurship Conclave organized by Shailesh J. Mehta School of Management, Indian Institute of Technology Bombay.
Internet of Things ( IOT) in AgricultureAmey Khebade
Application of IOT in Agriculture
Monitoring soil moisture and temperature
Controlled irrigation
Efficient usage of input like water, fertilizers, pesticides, etc
Reduced cost of production
Connected greenhouses and stables
Livestock monitoring
Download PPT for better design and animation
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.
An effective identification of crop diseases using faster region based convol...IJECEIAES
The majority of research Study is moving towards cognitive computing, ubiquitous computing, internet of things (IoT) which focus on some of the real time applications like smart cities, smart agriculture, wearable smart devices. The objective of the research in this paper is to integrate the image processing strategies to the smart agriculture techniques to help the farmers to use the latest innovations of technology in order to resolve the issues of crops like infections or diseases to their crops which may be due to bugs or due to climatic conditions or may be due to soil consistency. As IoT is playing a crucial role in smart agriculture, the concept of infection recognition using object recognition the image processing strategy can help out the farmers greatly without making them to learn much about the technology and also helps them to sort out the issues with respect to crop. In this paper, an attempt of integrating kissan application with expert systems and image processing is made in order to help the farmers to have an immediate solution for the problem identified in a crop.
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
The Artificial Intelligence (AI) In Agriculture market delves into the possible growth opportunities for the global Artificial Intelligence (AI) In Agriculture market and the chronological growth of the market throughout the forecast period.
Modern farming has gone through a massive upgrade due to the evolution of the latest technologies. The tech innovations have given a complete overhaul to the agriculture industry.
This post highlights the most recent innovation in Agriculture that are likely to dominate in the future.
Read here for more details!
ENHANCEMENT OF AGRICULTURAL STAKEHOLDERS BY USING ANDROID APPLICATIONvivatechijri
Agriculture sector plays crucial role in Indian Economy. It contributes about 17% to the total GDP and provides employment to over 60% of the population. Need of Enhancement of all stakeholders related to Agricultural sector. Most of the farmers doesn’t have any idea about the rates of crops and their products and they sell their products at any cost Improper accessibility. Android application will resolve the accessibility problem between all the agricultural stakeholders. Many laborers depend on agriculture to get their wages. They can include, grass cutters, tractor drivers, farming apparatus technicians, or anyone who is directly involved in farming activities. That said, agriculture allows manpower to be shifted between the agricultural and non-agricultural sectors. If farmers get an assured minimum support prices for their produces and also if the functioning in trade is made digital or online, or by eliminating middle person who is exchanging goods from farmers to factories or from factories to farmers. Then the financial state of farmers will be improved in agricultural field. These problems arises only because of not having the proper accessibility between each other. Nowadays it’s essential to develop of an effective network of all the agricultural stakeholders. With the help of Android application will try to provide better accessibility in terms of all resources (Time, Money and equipment) between farmers to vendors and vice versa, farmer to workers and vice versa, farmer to agriculture consultant as well as seeds and fertilizers suppliers.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Event Management System Vb Net Project Report.pdfKamal Acharya
In present era, the scopes of information technology growing with a very fast .We do not see any are untouched from this industry. The scope of information technology has become wider includes: Business and industry. Household Business, Communication, Education, Entertainment, Science, Medicine, Engineering, Distance Learning, Weather Forecasting. Carrier Searching and so on.
My project named “Event Management System” is software that store and maintained all events coordinated in college. It also helpful to print related reports. My project will help to record the events coordinated by faculties with their Name, Event subject, date & details in an efficient & effective ways.
In my system we have to make a system by which a user can record all events coordinated by a particular faculty. In our proposed system some more featured are added which differs it from the existing system such as security.
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSEDuvanRamosGarzon1
AIRCRAFT GENERAL
The Single Aisle is the most advanced family aircraft in service today, with fly-by-wire flight controls.
The A318, A319, A320 and A321 are twin-engine subsonic medium range aircraft.
The family offers a choice of engines
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Courier management system project report.pdfKamal Acharya
It is now-a-days very important for the people to send or receive articles like imported furniture, electronic items, gifts, business goods and the like. People depend vastly on different transport systems which mostly use the manual way of receiving and delivering the articles. There is no way to track the articles till they are received and there is no way to let the customer know what happened in transit, once he booked some articles. In such a situation, we need a system which completely computerizes the cargo activities including time to time tracking of the articles sent. This need is fulfilled by Courier Management System software which is online software for the cargo management people that enables them to receive the goods from a source and send them to a required destination and track their status from time to time.
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/
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.
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