Monitoring of soil
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This project aims at developing a high cost-effective method to measure temperature, moisture, electrical conductivity (EC), and the presence of Nitrogen (N), Phosphorus (P) and Potassium (K) of soil. Also measure the other parameters of soil like Ph, Temperature & humidity. This can improve the quality of soil and reduces the undesired use of fertilizers to be added to the soil. These three elements nutrients promote the growth of the plant in different ways Nitrogen promotes the growth of leaves and vegetation, Phosphorus promotes root and growth and Potassium promotes flowering, fruiting and keeps regulation of nutrient and water in plant cell. 1
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![MONITORING OF
SOIL
BY AMAN JAISWAL
[ENROLLMENT NO – 01315604916]](https://image.slidesharecdn.com/monitoringofsoil-190819065658/85/Monitoring-of-soil-1-320.jpg)
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Edgefxkits.com has a wide range of electronic projects ideas that are primarily helpful for ECE, EEE and EIE students and the ideas can be applied for real life purposes as well.
http://www.edgefxkits.com/
Visit our page to get more ideas on popular electronic projects developed by professionals.
Edgefx provides free verified electronic projects kits around the world with abstracts, circuit diagrams, and free electronic software. We provide guidance manual for Do It Yourself Kits (DIY) with the modules at best price along with free shipping.
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We are manufacturers of Red Pepper Moisture Meter in India since 1990. We have developed our unique range of
red pepper moisture meter, closely working with leading scientific brains of the country along with specialists of
various industries, thus ensuring a high level of accuracy, performance and reliability in all our red pepper moisture
meters.
Automatic plant watering using arduinos
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In this presentation I try to clear that how to connect arduino with soil sensor.
IOT based Smart Agriculture System.pptx
This document proposes an IoT-based smart agriculture and automatic irrigation system. It uses sensors like soil moisture, temperature, and humidity sensors connected to a NodeMCU microcontroller to monitor field conditions. If the soil moisture is low, a water pump connected to a motor driver will be switched on automatically to irrigate the field. The sensor data is sent to a cloud-based IoT platform called ThingsBoard for visualization and analysis. This system allows farmers to remotely monitor their fields and automate irrigation, reducing labor needs while optimizing water usage and improving crop yields.
Real Time soil fertility analyzer and crop prediction
1. The document describes a system to analyze soil fertility in real-time using sensors to measure pH and electrical conductivity.
2. The system determines the nutrient content of nitrogen, phosphorus, and potassium in the soil and identifies suitable crops for that soil type.
3. Test values from multiple soil samples around a field are averaged to assess the overall fertility of the land and provide a digital report to farmers with recommendations.
Vibrant Gujarat - Food & Agro Sector Profile
Regular Programmed budget is funded by its members, through contributions set at the FAO Conference. This budget covers core technical work, cooperation and partnerships including the Technical Cooperation Programmed, knowledge exchange, policy and advocacy, direction and administration, governance and security in Gujarat.
Gujarat State ranks first with respect to risk covered (Sum Insured), premium income, subsidies paid, farmers covered and claims paid under NAIS among the implementing States.
National Horticulture Mission (in effect till XI plan) with main thrust on augmenting production of all horticultural products (Fruits, Vegetables, Flowers, Plantation crops, Spices, Medicinal Aromatic plants) in the states
Present status and performance of Agriculture & Allied fields and Industries ...
Agriculture and allied sectors like forestry and fisheries account for about 50% of employment in India but only contribute around 14% to GDP. Several key sectors are discussed including horticulture, food processing, animal husbandry, fishing, and contract farming. The document also summarizes the status of important industries such as textiles, chemicals, sugar, paper, machine tools and auto components. Overall the agriculture and industry sectors provide livelihood for much of the population but have potential for increased contribution to the economy.
projectppt2linkedin-160503092404 (1).pdf
This project creates an automated plant watering system using a soil moisture sensor and motors. The soil moisture sensor continuously monitors the soil and sends readings to an Arduino board. If the moisture drops below a threshold, the Arduino signals a servo motor to tilt a water container and a DC motor to pump water, hydrating the soil. This system efficiently waters plants only when needed, conserving water resources. Components include a soil moisture sensor, Arduino, motor driver IC, servo motor, DC pump motor, and wiring. The system automatically monitors soil moisture and activates watering to maintain optimal moisture levels.
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Manufacturing process
This document from Northern India Engineering College discusses various manufacturing processes and materials used in engineering. It covers topics such as metals and non metals, ferrous and non ferrous alloys, heat treatment, forging, casting, and welding. The document was submitted by Aman Jaiswal to Assistant Professor Dheeraj Chhabra and provides an overview of key manufacturing concepts and techniques.
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Summer Internship Presentation on Robotics & IoT.
The document provides details about an industrial training internship completed by Aman Jaiswal at Roboslog India Private Limited from May 2018. Roboslog is an Indian startup that specializes in robotics services, products, and training. During the internship, Aman learned about robotics, IoT, Arduino, Raspberry Pi, and completed projects including an obstacle avoiding robot, NPK detection device, Wi-Fi controlled quadcopter, and smart air purifier. The training covered topics like robotics, IoT, their importance, and components used in sample projects.
Industrial Training Report on PLC & SCADA
The Most Used Guiding Force Behind An Automated Industrial Plant Is A "Programmable Logic Controller" Generally Known As A PLC. PLCs Along With Certain Other Necessary Ingredients Like Sensors, Motors, Actuators, Valves, Conveyors, Boilers, SCADA Systems, Computers & Many More, Makes A Real Automated Manufacturing Plant.
Internship Report on IOT & Robotics
The document is an industrial training report submitted by Aman Jaiswal to fulfill the requirements for a Bachelor of Technology degree. It includes a declaration, certificate, acknowledgement, abstract, and profile of Roboslog Pvt Ltd where the training took place. The report describes various training courses provided by Roboslog on topics like ARM, AVR, IoT, PCB design, 8051 microcontrollers, and Raspberry Pi. It also outlines projects completed during the internship, including an obstacle avoiding robot, NPK soil detection, smart air purifier, and WiFi quadcopter.
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Recycled Concrete Aggregate in Construction Part III
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
Understanding Inductive Bias in Machine Learning
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
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Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
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the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Embedded machine learning-based road conditions and driving behavior monitoring
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
The Python for beginners. This is an advance computer language.
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哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样
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本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Recycled Concrete Aggregate in Construction Part II
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...
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Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking.
Presentation at IcETRAN 2024 session:
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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官方认证美国密歇根州立大学毕业证学位证书原版一模一样
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本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
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2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
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For International shipping and maritime laws all wood must contain the ISPM 15 Stamp. Here is how and why.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Comparative analysis between traditional aquaponics and reconstructed aquapon...
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
International Conference on NLP, Artificial Intelligence, Machine Learning an...
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.
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Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
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Embedded machine learning-based road conditions and driving behavior monitoring
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International Conference on NLP, Artificial Intelligence, Machine Learning an...
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Iron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdf
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Monitoring of soil
- 1. MONITORING OF SOIL BY AMAN JAISWAL [ENROLLMENT NO – 01315604916]
- 2. WHY MONITORING OF SOIL IS IMPORTANT IN INDIA • India ranks second worldwide in farm outputs. • Agriculture employed 50% of the Indian work force. • India exported $38 billion worth of agricultural products in 2013. • It contributed 17-18% to country's GDP.
- 3. OBJECTIVE To Measure Important Parameters of Soil Like • Soil Moisture • Soil Temperature • Soil PH • Soil Conductivity • Soil Nutrients like NPK
- 4. HARDWARE REQUIREMENTS • PH Sensor • Moisture Sensor • DS18B20 Sensor • EC Sensor • Microcontroller • 3 LEDs with Receiver • 9v Battery
- 6. ARDUINO AS A MICROCONTROLLER • Arduino is 8 bit MC. • Arduino is a single board MC. • Arduino is open source hardware board. • It has 6 analog pins & 14 digital output pin. • It has 32KB flash Memory.
- 7. WHY WE MEASURE NPK IN SOIL Help in leap growth & flowering Help in roots growth Vital for disease resistance
- 8. HOW TO MEASURE NPK IN SOIL
- 9. OPTICAL CHARACTERISTICS OF NPK Nutrients Absorption of wavelength (nm) Nitrogen 438-490 Phosphorus 528-579 Potassium 605-650
- 10. OPTIMUM LIGHT PATH LENGTH
- 11. HARDWARE SETUP
- 12. SENDING DATA ON SERVER Monitoring Device By GPRS Server Users
- 13. DEVICE WHICH SEND DATA ON SERVER SIM900A Module Key Features • Low power consumption. • Operation temperature: -40°C to +85 °C • Arduino compatible. • Control via AT commands.
- 14. ADVANTAGES OF MONITORING OF SOIL Improve the quality of soil. Reduces the undesired use of fertilizers. Able to know where to plant crop. Help farmers to produce good yields.
- 15. DISADVANTAGES OF MONITORING OF SOIL Sensors calibration required. Depend on SIM netwok. Little expensive.
- 16. THE END