The document describes the design and implementation of an automated plant watering system using moisture sensors for sloped region agriculture. The system aims to efficiently irrigate crops using less water by automatically watering plants when the soil moisture drops below a threshold. Key elements of the system include mulching sheets to protect plant roots, moisture sensors to detect soil moisture levels, a water distribution system of PVC pipes and micro-tubes for uniform watering, and a motor pump connected to an Arduino board to automatically trigger watering based on sensor readings. An experimental setup was created with chili plants to test the system. Results found the automated system uses water more efficiently while providing uniform irrigation compared to conventional methods.
Microcontroller based adaptive irrigation system using wsn for variety crops ...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Effects of Farm Mechanization on the Lives of Rice Farm Workers of Cabanatuan...IJAEMSJORNAL
The effects of farm mechanization on the lives of rice farm laborers in Cabanatuan City, Nueva Ecija, were investigated in this descriptive study. Snowball sampling and a survey questionnaire with a consent form were used to collect data. Frequency count, percentages, and weighted mean were utilized to treat and analyze the data. The study's findings found that farm mechanization benefited farmer machine operators in earning more money through faster operations and that they are still regularly employed to work during cropping seasons. Despite this, the respondents see a considerable decrease in the number of rice field laborers.
AI bots in the agriculture field can harvest crops at a higher volume and faster pace than human laborers. By leveraging computer vision helps to monitor the weed and spray them. Thus, Artificial Intelligence is helping farmers find more efficient ways to protect their crops from weeds.
Microcontroller based adaptive irrigation system using wsn for variety crops ...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Effects of Farm Mechanization on the Lives of Rice Farm Workers of Cabanatuan...IJAEMSJORNAL
The effects of farm mechanization on the lives of rice farm laborers in Cabanatuan City, Nueva Ecija, were investigated in this descriptive study. Snowball sampling and a survey questionnaire with a consent form were used to collect data. Frequency count, percentages, and weighted mean were utilized to treat and analyze the data. The study's findings found that farm mechanization benefited farmer machine operators in earning more money through faster operations and that they are still regularly employed to work during cropping seasons. Despite this, the respondents see a considerable decrease in the number of rice field laborers.
AI bots in the agriculture field can harvest crops at a higher volume and faster pace than human laborers. By leveraging computer vision helps to monitor the weed and spray them. Thus, Artificial Intelligence is helping farmers find more efficient ways to protect their crops from weeds.
Automatic Monitoring of Soil Moisture and Controlling of Irrigation SystemEswar Publications
In past couple of decades, there is immediate growth in field of agricultural technology. Utilization of proper method of irrigation by drip is very reasonable and proficient. A various drip irrigation methods have been proposed, but they have been found to be very luxurious and dense to use. The farmer has to maintain watch on irrigation schedule in the conventional drip irrigation system, which is different for different types of crops. In remotely monitored embedded system for irrigation purposes have become a new essential for farmer to accumulate his energy, time and money and will take place only when there will be requirement of water. In this approach, the soil test for chemical constituents, water content, and salinity and fertilizer requirement data collected by wireless and processed for better drip irrigation plan. This paper reviews different monitoring systems and proposes an automatic monitoring system model using Wireless Sensor Network (WSN) which helps the farmer to improve the yield.
Drip irrigation system using embedded systems an initiative of saving watereSAT Journals
Abstract Water is one of the basic needs of all living beings. Fresh water is less than 1% on Earth [I] and the usage of water is increasing day by day. Agriculture practices alone requires huge amount of water. In this paper, the basic motive is to save water and prevent wastage of water by using drip irrigation technology. In Drip irrigation the water is poured just above the roots in the form of droplets. Water is given to the roots drop by drop which not only saves water but also prevents the plants from flooding and decaying due to excessive water released by irrigation methods like flood irrigation- border irrigation, furrow irrigation, check basin irrigation [II]. In this paper, microcontroller based drip irrigation method is proposed, which controls, monitors, automatically ON/OFF the water pump and gives feedback. Drip irrigation using embedded systems is one of the most efficient techniques used to save water as well as saving time and energy of the farmers. Using embedded technology in farming practices would ease the farming and farmers will be able to keep check on the crops. Keywords: Drip irrigation, ATmega32 microcontroller, moisture sensors, temperature sensors and GSM Module.
Automatic Monitoring of Soil Moisture and Controlling of Irrigation SystemEswar Publications
In past couple of decades, there is immediate growth in field of agricultural technology. Utilization of proper method of irrigation by drip is very reasonable and proficient. A various drip irrigation methods have been proposed, but they have been found to be very luxurious and dense to use. The farmer has to maintain watch on irrigation schedule in the conventional drip irrigation system, which is different for different types of crops. In remotely monitored embedded system for irrigation purposes have become a new essential for farmer to accumulate his energy, time and money and will take place only when there will be requirement of water. In this approach, the soil test for chemical constituents, water content, and salinity and fertilizer requirement data collected by wireless and processed for better drip irrigation plan. This paper reviews different monitoring systems and proposes an automatic monitoring system model using Wireless Sensor Network (WSN) which helps the farmer to improve the yield.
Drip irrigation system using embedded systems an initiative of saving watereSAT Journals
Abstract Water is one of the basic needs of all living beings. Fresh water is less than 1% on Earth [I] and the usage of water is increasing day by day. Agriculture practices alone requires huge amount of water. In this paper, the basic motive is to save water and prevent wastage of water by using drip irrigation technology. In Drip irrigation the water is poured just above the roots in the form of droplets. Water is given to the roots drop by drop which not only saves water but also prevents the plants from flooding and decaying due to excessive water released by irrigation methods like flood irrigation- border irrigation, furrow irrigation, check basin irrigation [II]. In this paper, microcontroller based drip irrigation method is proposed, which controls, monitors, automatically ON/OFF the water pump and gives feedback. Drip irrigation using embedded systems is one of the most efficient techniques used to save water as well as saving time and energy of the farmers. Using embedded technology in farming practices would ease the farming and farmers will be able to keep check on the crops. Keywords: Drip irrigation, ATmega32 microcontroller, moisture sensors, temperature sensors and GSM Module.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
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.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
HEAP SORT ILLUSTRATED WITH HEAPIFY, BUILD HEAP FOR DYNAMIC ARRAYS.
Heap sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to the selection sort where we first find the minimum element and place the minimum element at the beginning. Repeat the same process for the remaining elements.
An Approach to Detecting Writing Styles Based on Clustering Techniquesambekarshweta25
An Approach to Detecting Writing Styles Based on Clustering Techniques
Authors:
-Devkinandan Jagtap
-Shweta Ambekar
-Harshit Singh
-Nakul Sharma (Assistant Professor)
Institution:
VIIT Pune, India
Abstract:
This paper proposes a system to differentiate between human-generated and AI-generated texts using stylometric analysis. The system analyzes text files and classifies writing styles by employing various clustering algorithms, such as k-means, k-means++, hierarchical, and DBSCAN. The effectiveness of these algorithms is measured using silhouette scores. The system successfully identifies distinct writing styles within documents, demonstrating its potential for plagiarism detection.
Introduction:
Stylometry, the study of linguistic and structural features in texts, is used for tasks like plagiarism detection, genre separation, and author verification. This paper leverages stylometric analysis to identify different writing styles and improve plagiarism detection methods.
Methodology:
The system includes data collection, preprocessing, feature extraction, dimensional reduction, machine learning models for clustering, and performance comparison using silhouette scores. Feature extraction focuses on lexical features, vocabulary richness, and readability scores. The study uses a small dataset of texts from various authors and employs algorithms like k-means, k-means++, hierarchical clustering, and DBSCAN for clustering.
Results:
Experiments show that the system effectively identifies writing styles, with silhouette scores indicating reasonable to strong clustering when k=2. As the number of clusters increases, the silhouette scores decrease, indicating a drop in accuracy. K-means and k-means++ perform similarly, while hierarchical clustering is less optimized.
Conclusion and Future Work:
The system works well for distinguishing writing styles with two clusters but becomes less accurate as the number of clusters increases. Future research could focus on adding more parameters and optimizing the methodology to improve accuracy with higher cluster values. This system can enhance existing plagiarism detection tools, especially in academic settings.