Project Implementation
Real-Time Data Analysis of fabricated hardware & conclusions
Proposed Implementation using the concepts of IoT
Challenges faced in Smart Farming with perspective of India
Further Scope for Innovation from Electrical Engineer’s POV
Why apply IoT in agriculture? Special aspects to consider for
IoT in agriculture. IoT application in this field.
More information on our website: http://aggregate.tibbo.com/industries/agriculture.html
With the increase in need of water for irrigation, there is also a case where we use more water for irrigation than it’s needed for crops. That results in the wastage of water and causes the problem in the growth of crops. To overcome this problem, this paper puts together a study of a system based on Irrigation using IOT (Internet of things). This system targets on sensing the soil moisture and temperature using the sensors and provide the data to the Thing speak server after which the farmer can decide whether to ON or OFF the pump.
This is one presentation article which contains different constraints of IOT are used to convert the conventional agricultural system into a smart agricultural system. The productivity in agricultural system is enhancing day by day by incorporating the IOT mechanism. Some hierarchies and pictorial figures are shown to visualise the improvement through the last decade.
Why apply IoT in agriculture? Special aspects to consider for
IoT in agriculture. IoT application in this field.
More information on our website: http://aggregate.tibbo.com/industries/agriculture.html
With the increase in need of water for irrigation, there is also a case where we use more water for irrigation than it’s needed for crops. That results in the wastage of water and causes the problem in the growth of crops. To overcome this problem, this paper puts together a study of a system based on Irrigation using IOT (Internet of things). This system targets on sensing the soil moisture and temperature using the sensors and provide the data to the Thing speak server after which the farmer can decide whether to ON or OFF the pump.
This is one presentation article which contains different constraints of IOT are used to convert the conventional agricultural system into a smart agricultural system. The productivity in agricultural system is enhancing day by day by incorporating the IOT mechanism. Some hierarchies and pictorial figures are shown to visualise the improvement through the last decade.
This Project and presentation is created by 'Shanjedul Hassan'
ABSTRACT
Despite the perception people may have regarding the agricultural process, the reality is that today’s agriculture industry is data-cantered, precise, and smarter than ever. The rapid emergence of the Internet-of-Things (IoT) based technologies redesigned almost every industry including ‘‘smart agriculture’’ which moved the industry from statistical to quantitative approaches. Such revolutionary changes are shaking the existing agriculture methods and creating new opportunities along with a range of challenges. This article highlights the potential of wireless sensors and IoT in agriculture, as well as the challenges expected to be faced when integrating this technology with the traditional farming practices. IoT devices and communication techniques associated with wireless sensors encountered in agriculture applications are analyzed in detail. What sensors are available for specific agriculture application, like soil preparation, crop status, irrigation, insect, and pest detection are listed. How this technology helping the growers throughout the crop stages, from sowing until harvesting, packing, and transportation is explained. Furthermore, the use of unmanned aerial vehicles for crop surveillance and other favourable applications such as optimizing crop yield is considered in this article. State-of-the-art IoT-based architectures and platforms used in agriculture are also highlighted wherever suitable. Finally, based on this thorough review, we identify current and future trends of IoT in agriculture and highlight potential research challenges.
Internet of Things & Its application in Smart AgricultureMohammad Zakriya
As we know Agriculture plays vital role in the development of agricultural country. In India about 70% of population depends upon farming and one third of the nation’s capital comes from farming. Issues concerning agriculture have been always hindering the development of the country. The only solution to this problem is smart agriculture by modernizing the current traditional methods of agriculture. Hence the project aims at making agriculture smart using automation and IoT technologies.
This is a mini project based on the agricultural system which differs from traditional agricultural system as it is directed by the IOT devices. Some relevant information of conventional system were also discussed to differentiate between both the systems.
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.
it is a prototype arduino based auto irrigation system which turns on the pump while the field is dry. it uses soil moisture sensor to detect the amount of soil moisture content. As the system is arduino based it uses an arduino software which can be downloaded from https://www.arduino.cc/en/Main/Software
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
India, whose GDP depends on the agriculture is not a developed nation in terms of modernization in agriculture. The high cost of labor, uncertainty in the production of crops, lack of knowledge about new methods, continuing with the same orthodox and traditional means to go about agriculture, the inefficient use of proper irrigational facilities results in low productivity. Due to this uncertainty in the irrigation process the crops may also dry up. About 14.7% of India’s growth depends on the agricultural sector, so it’s a huge cause of concern.
With this project, the current problems related to farming are solved and practically implemented solutions are provided. Using IOT as well as GSM, a whole new concept of farming using networks is introduced reducing labor, updating farmer about the live conditions of farm on the mobile devices and presenting its graphical value using thing speak. It makes the process handy with the click a button reformation.
We evaluate the performance of our method in a simple temperature sensing application. In terms of reducing human efforts and ease of irrigation, our approach has been observed to outperform the existing conventional approach. We bring out the advantages and disadvantages followed by their applications. The paper concludes the work open for research.
We can predict soil moisture level and motion of predators.
Irrigation system can be monitored .
Damage caused by predators is reduced.
Increased productivity.
Water conservation.
Profit to farmers.
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.
Arduino Automatic Watering System Plants Sprinkler Using IoTPRAVEEN KANSARI
In this project Arduino Automatic Watering System Plants Sprinkler using IoT, the watering system is automatic using the Arduino Uno board and gets the information about plants and moisture of the soil in Gmail, Twitter and Facebook. In here, two types of programming languages are used which are Embedded C and Python programming. The Embedded C is used for the arduino for automate the watering system of the plants and other language Python is used for sending status of the plants and soil moisture to the Gmail and also IFTTT is used for getting data in Twitter and Facebook. We get data of the moisture sensor in our Gmail, Twitter and Facebook account using the Python code. The data or information is value of the serial monitor of the arduino as the resistivity of soil moisture with the status of plant as a message.
complete presentation on Smart Irrigation system using thingspeak technology is mainly helpful for the farmer to monitor the crop fields. Thingspeak is a platform, we can login with our matlab credentials.this system highly used in Mushroom cultivation because Mushroom cultivation is complete done in a perticuler Room, so this system will monitor the room Humidity, temperature, light and AirQuality. the hole process is we can monitor from any where in the world with help of Thingspeak platform.
This Project and presentation is created by 'Shanjedul Hassan'
ABSTRACT
Despite the perception people may have regarding the agricultural process, the reality is that today’s agriculture industry is data-cantered, precise, and smarter than ever. The rapid emergence of the Internet-of-Things (IoT) based technologies redesigned almost every industry including ‘‘smart agriculture’’ which moved the industry from statistical to quantitative approaches. Such revolutionary changes are shaking the existing agriculture methods and creating new opportunities along with a range of challenges. This article highlights the potential of wireless sensors and IoT in agriculture, as well as the challenges expected to be faced when integrating this technology with the traditional farming practices. IoT devices and communication techniques associated with wireless sensors encountered in agriculture applications are analyzed in detail. What sensors are available for specific agriculture application, like soil preparation, crop status, irrigation, insect, and pest detection are listed. How this technology helping the growers throughout the crop stages, from sowing until harvesting, packing, and transportation is explained. Furthermore, the use of unmanned aerial vehicles for crop surveillance and other favourable applications such as optimizing crop yield is considered in this article. State-of-the-art IoT-based architectures and platforms used in agriculture are also highlighted wherever suitable. Finally, based on this thorough review, we identify current and future trends of IoT in agriculture and highlight potential research challenges.
Internet of Things & Its application in Smart AgricultureMohammad Zakriya
As we know Agriculture plays vital role in the development of agricultural country. In India about 70% of population depends upon farming and one third of the nation’s capital comes from farming. Issues concerning agriculture have been always hindering the development of the country. The only solution to this problem is smart agriculture by modernizing the current traditional methods of agriculture. Hence the project aims at making agriculture smart using automation and IoT technologies.
This is a mini project based on the agricultural system which differs from traditional agricultural system as it is directed by the IOT devices. Some relevant information of conventional system were also discussed to differentiate between both the systems.
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.
it is a prototype arduino based auto irrigation system which turns on the pump while the field is dry. it uses soil moisture sensor to detect the amount of soil moisture content. As the system is arduino based it uses an arduino software which can be downloaded from https://www.arduino.cc/en/Main/Software
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
India, whose GDP depends on the agriculture is not a developed nation in terms of modernization in agriculture. The high cost of labor, uncertainty in the production of crops, lack of knowledge about new methods, continuing with the same orthodox and traditional means to go about agriculture, the inefficient use of proper irrigational facilities results in low productivity. Due to this uncertainty in the irrigation process the crops may also dry up. About 14.7% of India’s growth depends on the agricultural sector, so it’s a huge cause of concern.
With this project, the current problems related to farming are solved and practically implemented solutions are provided. Using IOT as well as GSM, a whole new concept of farming using networks is introduced reducing labor, updating farmer about the live conditions of farm on the mobile devices and presenting its graphical value using thing speak. It makes the process handy with the click a button reformation.
We evaluate the performance of our method in a simple temperature sensing application. In terms of reducing human efforts and ease of irrigation, our approach has been observed to outperform the existing conventional approach. We bring out the advantages and disadvantages followed by their applications. The paper concludes the work open for research.
We can predict soil moisture level and motion of predators.
Irrigation system can be monitored .
Damage caused by predators is reduced.
Increased productivity.
Water conservation.
Profit to farmers.
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.
Arduino Automatic Watering System Plants Sprinkler Using IoTPRAVEEN KANSARI
In this project Arduino Automatic Watering System Plants Sprinkler using IoT, the watering system is automatic using the Arduino Uno board and gets the information about plants and moisture of the soil in Gmail, Twitter and Facebook. In here, two types of programming languages are used which are Embedded C and Python programming. The Embedded C is used for the arduino for automate the watering system of the plants and other language Python is used for sending status of the plants and soil moisture to the Gmail and also IFTTT is used for getting data in Twitter and Facebook. We get data of the moisture sensor in our Gmail, Twitter and Facebook account using the Python code. The data or information is value of the serial monitor of the arduino as the resistivity of soil moisture with the status of plant as a message.
complete presentation on Smart Irrigation system using thingspeak technology is mainly helpful for the farmer to monitor the crop fields. Thingspeak is a platform, we can login with our matlab credentials.this system highly used in Mushroom cultivation because Mushroom cultivation is complete done in a perticuler Room, so this system will monitor the room Humidity, temperature, light and AirQuality. the hole process is we can monitor from any where in the world with help of Thingspeak platform.
This ppt is helpful in learning the Automatic Irrigation System Using IoT-based Sensors to sense the Temperature, Humidity, and Soil Moisture present in the soil and surrounding air.
IOT attracts people and makes people's life easy where people from anywhere can control their all-electric appliances with just one single click.
Industrial IoT will not achieve its full potential...unless it solves this ch...Harry Sim
Lack of data visibility in existing plants hinders Industrial IoT deployment…but non-invasive instrumentation upgrade is a key part of the solution. - Harry Sim, CEO, Cypress Envirosystems
Irrigation is a scientific process of artificially supplying water to the land or soil that is being cultivated. Traditionally in dry regions having no or little rainfall water had to be supplied to the fields either through canals or hand pumps, tube wells. Conventional irrigation methods had severe problems such as increase in workload of farm labor and often it lead to problem such as over-irrigation or under-irrigation, and leaching of soil.
To develop smart based automatic Farming system capable of controlling many electrical appliances in an irrigation or field using android platform with a mobile handset, where data transmission is carried wirelessly. That’s why design Wireless transmission media using through and its interfacing peripherals for wireless data communication between Mobile Handset and appliances is our need. Hence to create a database of user interface in order to characterize the electric signals to atomize farming system. It also prevents for heat control if some farm gets burnt it’s start giving message to the farmers and also we will give fertilizers to the irrigation plant such that good yield to be produced.
Bio-Sensors & their Working Principle
Application of Bio-Sensors in the field of Electrical
EMG
ECG
EEG
Implementation target for Robotic Arm
Conclusion
Bio-sensing principle
Types of Bio-Sensing:
EMG (Electromyogram)
EEG (Electroencephalogram)
ECG (Electrocardiogram)
Various Stages for EMG
Simulation of EMG Sensor
Video of prototype fabricated
Block diagram of Robot functioning.
Hardware required to make robot.
Programming of image processing in MATLAB. (simulation)
Implementation of control circuit in ARDUINO. (simulation)
Development of “TAURUS: v1.0”: a farmbot.
Hardware for dual axis Camera focus system. (video)
Programming in the software: Processing.
Feature Extraction for a Object: Pixel Detection & Motion Detection
Conclusion
Digital Image Processing using MatLAB with Arduino Shivang Rana
What is a digital image?
How is processing done with a digital image?
Classification of image
Block diagram of DIP
Quality Workforce Algorithm for Fruit Sorter
Block Diagram of Face Detection
Block Diagram of Comparing to Two Images
A presentation on 'Personality' as part of Organizational Behaviour
1) Fundamentals
2) Measuring Personality
3) Determinants
4) Personality Traits [Taught using Memes]
5) Case Study
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
1. Development of Smart Farming
(based on Arduino)
Prepared by
Patel Raj (14BEE091)
Rana Shivang (14BEE099)
Guided by
Prof. Shankar Godwal
2. Workflow
REVIEW - 1 REVIEW - 2 REVIEW - 3
- Conceptualising
Smart Farming
- Seeking to the
newer ways by
which we could
make an
innovation.
- Choosing the
most viable
hardware
components
- Implementing
the hardware
system.
- Analysis of Real-
time data
acquired
- Proposing a Smart
model of farm
using concept of
IoT
3. INDEX
•Project Implementation
•Real-Time Data Analysis of Implementated hardware & Conclusions
•Proposed Implementation using the concepts of IoT
•Challenges faced in Smart Farming with perspective of India
•Further Scope for Innovation from Electrical Engineer’s POV
4. Project Implementation
•Using Moisture Sensor interfaced with Arduino for real-time
Continuous data acquisition.
•Pump to feed Water when crop is little thirsty.
•Programming the Pump according to the Real-time Data collected.
•LCD Display to show Current Data Acquired from the Moisture Sensor.
•Practical Real-time analysis of Holy Basil Crop (Ocimum sanctum).
5. Real time analysis of Holy Basil Crop
• Holy Basil is very heat and cold sensitive. A room that has a
constant warm temperature, a greenhouse or indoor
greenhouse is best. We can place it on a window sill with a
heater right under it, provided the heater is on at night too.
• Especially in the winter it is very important to ensure tulsi is
kept in a constantly warm place.
• Optimum ground temperature is around 26° Celsius (78.8° F).
DAY 10:45AM 1:00PM 4:00PM 9:00PM
SUNDAY 450 250 526 200 396 217 368
MONDAY 455 225 500 250 400 271 400
6. Proposed Implementation
•Add-Ons to the existing implemented model
•Water Level Sensor interfaced with Arduino to get updated when if there is issue
related to Irrigation or pumping system.
•Establishing Talk between Sensors for Real-time Issues.
•Wireless network modelling to inform farmer about the time- to -time updates on
the crops with help of
•Matrix based farming for Residential Organic farming
•Conceptualizing Farm-Bot
7. WATER LEVEL SENSOR
Specification:
Operating Voltage: DC 3-5V
Operating Current: <20mA
Detection Area: 40mm x 16mm
Working Temperature: 10 °C to 30 °C
Work Humidity: 10% to 90% without condensation
Size: 65mm x 20mm x 8mm
Optional Accessories: 3 pin sensor connecting line
Sensor relay shield
9. WIRELESS NETWORK USING TRANSMITTER AND
RECEIVER
Transmitter Receiver
Module Module
Wireless Sensor
Network (WSNs)
10. Challenges faced in Smart Farming with perspective of India
( Dream or Future ? )
•Unawareness about weather condition so whole area of crop get vanish.
•Diseases to plant that degrade crop quality and thus harvesting quantity.
•Unawareness of weed so using pesticides for them that damage plants naturality.
•More time to harvest crop and involved more labour so money investment is large
compared to harvesting robots.
•Less knowledge of irrigation that non uniformity of spreading water throughout farm.
