Pub Date : 2021-09-23DOI: 10.1109/CCGE50943.2021.9776446
Prasad C. Mahajan, A. Kiwelekar, L. Netak, Akshay Ghodake
Automatic Identification System (AIS), the automated data collection system for vessel tracking, plays an essential role in marine traffic management. AIS system is generating an enormous volume of data which has rampant growth. The AIS data has the potential to drive transport activities, and significant hidden insights are possible to draw by analyzing the AIS data. Some of the tasks which can rely on the AIS data are predicting routes of vessels, predicting traffic intensity, estimating the time of arrival of a ship and transport of volume. The development of analytical techniques for AIS data would lead to the attainment of business goals such as increasing profit, optimally utilize human resources at a port and reducing traffic in the ocean. This paper reviews existing and emerging techniques used to analyze AIS data in the field of marine transportation.
{"title":"Applications of Predictive Analytics in Marine Transportation","authors":"Prasad C. Mahajan, A. Kiwelekar, L. Netak, Akshay Ghodake","doi":"10.1109/CCGE50943.2021.9776446","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776446","url":null,"abstract":"Automatic Identification System (AIS), the automated data collection system for vessel tracking, plays an essential role in marine traffic management. AIS system is generating an enormous volume of data which has rampant growth. The AIS data has the potential to drive transport activities, and significant hidden insights are possible to draw by analyzing the AIS data. Some of the tasks which can rely on the AIS data are predicting routes of vessels, predicting traffic intensity, estimating the time of arrival of a ship and transport of volume. The development of analytical techniques for AIS data would lead to the attainment of business goals such as increasing profit, optimally utilize human resources at a port and reducing traffic in the ocean. This paper reviews existing and emerging techniques used to analyze AIS data in the field of marine transportation.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"4 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115729272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-23DOI: 10.1109/CCGE50943.2021.9776445
Saurabh Pargaien, R. Prakash, V. P. Dubey
The NDVI is an extensively used numerical indicator that utilizes the NIR and red band of the EM spectrum. It is waged to analyse and evaluate the ground locations for the presence of live green vegetation by using remote sensing images. This paper provides an analysis of the utility of NDVI in mapping the wheat crop of selected area of Saharanpur region, Uttar Pradesh, India. Images of Sentinel 2B were collected from November 16, 2018 to April 15, 2019. A total of 16 different date satellite images were analysed to calculate NDVI values of same region. For land cover classification various indices are used. Vegetation, sparse vegetation and dense vegetation can be identified by computing NDVI. In this article 16 different sentinel images of Saharanpur region are processed to identify the wheat crop on the basis of NDVI values. the graph shows high NDVI values in the month of march.
{"title":"Wheat Crop Classification based on NDVI using Sentinel Time Series: A Case Study Saharanpur Region","authors":"Saurabh Pargaien, R. Prakash, V. P. Dubey","doi":"10.1109/CCGE50943.2021.9776445","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776445","url":null,"abstract":"The NDVI is an extensively used numerical indicator that utilizes the NIR and red band of the EM spectrum. It is waged to analyse and evaluate the ground locations for the presence of live green vegetation by using remote sensing images. This paper provides an analysis of the utility of NDVI in mapping the wheat crop of selected area of Saharanpur region, Uttar Pradesh, India. Images of Sentinel 2B were collected from November 16, 2018 to April 15, 2019. A total of 16 different date satellite images were analysed to calculate NDVI values of same region. For land cover classification various indices are used. Vegetation, sparse vegetation and dense vegetation can be identified by computing NDVI. In this article 16 different sentinel images of Saharanpur region are processed to identify the wheat crop on the basis of NDVI values. the graph shows high NDVI values in the month of march.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126774811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-23DOI: 10.1109/CCGE50943.2021.9776454
Dharmendra Ambani, Kishor H. Atkotiya
Privacy Preserving Data-Mining is the major use of data- mining methods for ensuring privacy of personal information. Data-mining algorithms search for the information that is most valuable. A major aspect of Privacy Preserving Data Mining is the safeguarding of sensitive information against unauthorized access. The Secure Data Contribution Retrieval algorithm assigns a privacy policy and security is assigned depending on the application needs and compatibility. This method is capable of meeting the requirements for numerous datasets. Currently, social media sites such as Facebook, Twitter, and YouTube are quite popular. Then, the expanded attribute-based encryption methodology allows users to transfer data contents across orbit software networks. Data leakage occurs during the gathering and storage of user Orbit Software Networks in an insecure distributed or centralized system. Third, the suggested Level by Level Security Optimization and Content Visualization algorithm helps prevent privacy problems when sharing information and visualizing data. They use privacy levels at the individual level following the assessment of the privacy compatibility of orbit software networks application. Experimental analysis employs the data from social datasets.
{"title":"Secure Data Contribution and Retrieval in Social Networks Using Effective Privacy Preserving Data Mining Techniques","authors":"Dharmendra Ambani, Kishor H. Atkotiya","doi":"10.1109/CCGE50943.2021.9776454","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776454","url":null,"abstract":"Privacy Preserving Data-Mining is the major use of data- mining methods for ensuring privacy of personal information. Data-mining algorithms search for the information that is most valuable. A major aspect of Privacy Preserving Data Mining is the safeguarding of sensitive information against unauthorized access. The Secure Data Contribution Retrieval algorithm assigns a privacy policy and security is assigned depending on the application needs and compatibility. This method is capable of meeting the requirements for numerous datasets. Currently, social media sites such as Facebook, Twitter, and YouTube are quite popular. Then, the expanded attribute-based encryption methodology allows users to transfer data contents across orbit software networks. Data leakage occurs during the gathering and storage of user Orbit Software Networks in an insecure distributed or centralized system. Third, the suggested Level by Level Security Optimization and Content Visualization algorithm helps prevent privacy problems when sharing information and visualizing data. They use privacy levels at the individual level following the assessment of the privacy compatibility of orbit software networks application. Experimental analysis employs the data from social datasets.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129831598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-23DOI: 10.1109/CCGE50943.2021.9776464
A. Dubey, Anmol Gulati, Ayush Choubey, S. Jaikar, Pranav More
Driving a vehicle at night or in low levels of natural light poses many risks, one of which is caused by the vehicle's headlight. Many drivers prefer to use high beam headlights while driving at night, which improves visibility by allowing them to see a larger area ahead of them. Aside from providing increased visibility and a clearer view of the road ahead, these high beams can strain the eyes of the driver of the vehicle approaching from the opposite direction. This strain on the eyes of the driver can cause a glare effect for a slight duration which can disrupt the vision of the driver and may cause accidents. The glare effect is caused by the use of high beam headlights from the opposite end of the vehicle. The system under consideration uses a LED matrix (Hardware module) in addition to a trained object detection module and a live camera feed (Software module) to detect vehicles, acquire their positions to control the LEDs in our matrix, and control the intensities of those LEDs. Using this system, we aim to control the headlights in an optimized way to reduce the glare effect from impacting the drivers of oncoming vehicles and also illuminate the road ahead without compromising the visibility of the driver. The model assists in overcoming the dizziness or glare effect that a driver may encounter while driving in the dark. It also aims to eliminate the need for the driver to manually control the headlights, which is rarely used.
{"title":"Adaptive Headlight System for Reducing the Dazzling Effect to Prevent Road Accident","authors":"A. Dubey, Anmol Gulati, Ayush Choubey, S. Jaikar, Pranav More","doi":"10.1109/CCGE50943.2021.9776464","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776464","url":null,"abstract":"Driving a vehicle at night or in low levels of natural light poses many risks, one of which is caused by the vehicle's headlight. Many drivers prefer to use high beam headlights while driving at night, which improves visibility by allowing them to see a larger area ahead of them. Aside from providing increased visibility and a clearer view of the road ahead, these high beams can strain the eyes of the driver of the vehicle approaching from the opposite direction. This strain on the eyes of the driver can cause a glare effect for a slight duration which can disrupt the vision of the driver and may cause accidents. The glare effect is caused by the use of high beam headlights from the opposite end of the vehicle. The system under consideration uses a LED matrix (Hardware module) in addition to a trained object detection module and a live camera feed (Software module) to detect vehicles, acquire their positions to control the LEDs in our matrix, and control the intensities of those LEDs. Using this system, we aim to control the headlights in an optimized way to reduce the glare effect from impacting the drivers of oncoming vehicles and also illuminate the road ahead without compromising the visibility of the driver. The model assists in overcoming the dizziness or glare effect that a driver may encounter while driving in the dark. It also aims to eliminate the need for the driver to manually control the headlights, which is rarely used.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128381485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-23DOI: 10.1109/CCGE50943.2021.9776437
Sparsh Amarnani, N. Bhagat, Hritwik Ekade, Ajay Gupta, Sunita Sahu
MOOCs, after first being introduced in 2008, have since drawn attention around the world for their advantages and also criticism of their drawbacks. Interactivity with the instructor and personalized experience while learning are some of the main aspects in which the current MOOCs show scope of improvement. In this paper, we are proposing a novel chatbot architecture that can act as teaching assistance to answer queries faced by learners in MOOCs. The chatbot will be trained on the course material using the popular ALBERT model to develop its knowledge base. The chatbot will answer a large number of student's queries, thus reducing the workload of the instructor(s) to answer all the queries. This will open a new avenue for instructor-chatbot-learner interaction, where all of these three will compound each other's value.
{"title":"A Complete Chatbot based Architecture for answering user's Course-related queries in MOOC platforms","authors":"Sparsh Amarnani, N. Bhagat, Hritwik Ekade, Ajay Gupta, Sunita Sahu","doi":"10.1109/CCGE50943.2021.9776437","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776437","url":null,"abstract":"MOOCs, after first being introduced in 2008, have since drawn attention around the world for their advantages and also criticism of their drawbacks. Interactivity with the instructor and personalized experience while learning are some of the main aspects in which the current MOOCs show scope of improvement. In this paper, we are proposing a novel chatbot architecture that can act as teaching assistance to answer queries faced by learners in MOOCs. The chatbot will be trained on the course material using the popular ALBERT model to develop its knowledge base. The chatbot will answer a large number of student's queries, thus reducing the workload of the instructor(s) to answer all the queries. This will open a new avenue for instructor-chatbot-learner interaction, where all of these three will compound each other's value.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127290608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-23DOI: 10.1109/CCGE50943.2021.9776458
Manish Sharma, Namrata Choudhary, Rakesh Ahuja, S. Malhotra
In this reported-work, a compact MIMO antenna with 2x2 configuration is proposed for 5G applications working at 28GHz and 38GHz bands. The proposed antenna is useful for IoT (Internet of Things) and smart city applications. The designed antenna consist of rectangular patch printed on one plane of Rogers RTDuroid Substrate and ground on the opposite plane. Also, single element antenna is modified as MIMO antenna configuration by placing the radiating elements in adjacent or orthogonal configuration. The proposed antenna is validated by sketching the results in frequency domain and far-field region. Also, the parameter such as ECC, DG, TARC and CCL are evaluated which validates the diversity performance.
{"title":"A Compact Multiband 2x2 MIMO Antenna For 5G 28GHz/38GHz IoT and Smart City Applications","authors":"Manish Sharma, Namrata Choudhary, Rakesh Ahuja, S. Malhotra","doi":"10.1109/CCGE50943.2021.9776458","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776458","url":null,"abstract":"In this reported-work, a compact MIMO antenna with 2x2 configuration is proposed for 5G applications working at 28GHz and 38GHz bands. The proposed antenna is useful for IoT (Internet of Things) and smart city applications. The designed antenna consist of rectangular patch printed on one plane of Rogers RTDuroid Substrate and ground on the opposite plane. Also, single element antenna is modified as MIMO antenna configuration by placing the radiating elements in adjacent or orthogonal configuration. The proposed antenna is validated by sketching the results in frequency domain and far-field region. Also, the parameter such as ECC, DG, TARC and CCL are evaluated which validates the diversity performance.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"124-125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133677675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-23DOI: 10.1109/CCGE50943.2021.9776424
Manjusha A. Kanawade, Mrunmai M. Ranade
Cogeneration plants concurrently produce electricity and heat energy. In sugar industry bagasse can be utilized efficiently for generation of thermal and electrical energy. The present study includes optimal scheduling of boiler and generator units for generation of steam and electricity. The mixed integer linear programming (MILP) mathematical formulation is proposed to determine optimal planning. The existing sugar industry under consideration does not sell electricity to grid or other utility. The optimal planning and scheduling of sugar industry components in view of power export indicates reduction in annual cost of sugar industry. The proposed MILP model can be helpful for planner of sugar industry to consider power export option in the existing sugar industry. The study shows clear benefit and efficient utilization of boiler and generator units of the industry after satisfying the thermal and electrical demands.
{"title":"Optimization of Cogeneration in Sugar industry by Mixed integer linear programming Method","authors":"Manjusha A. Kanawade, Mrunmai M. Ranade","doi":"10.1109/CCGE50943.2021.9776424","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776424","url":null,"abstract":"Cogeneration plants concurrently produce electricity and heat energy. In sugar industry bagasse can be utilized efficiently for generation of thermal and electrical energy. The present study includes optimal scheduling of boiler and generator units for generation of steam and electricity. The mixed integer linear programming (MILP) mathematical formulation is proposed to determine optimal planning. The existing sugar industry under consideration does not sell electricity to grid or other utility. The optimal planning and scheduling of sugar industry components in view of power export indicates reduction in annual cost of sugar industry. The proposed MILP model can be helpful for planner of sugar industry to consider power export option in the existing sugar industry. The study shows clear benefit and efficient utilization of boiler and generator units of the industry after satisfying the thermal and electrical demands.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123435839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-23DOI: 10.1109/CCGE50943.2021.9776380
Nivedita Patil, U. G. Patil
Residential usage of power and its management have become one of the most pressing global challenges in recent years as domestic electricity demand continues to rise. To accomplish the efficient use of power in smart residences, in which technology is used for making every domestic electronic appliance act “smart” or automated, concerns about exchange of information among devices and power management techniques within the houses are required to be addressed. Given that the user has a limited amount of electricity, this paper discusses a system that allows the user to prioritize home appliances based on their daily usage. The mobile application assists the user in determining the appliance's priority and number of working hours as well as check the real-time status of the appliances. Wi-Fi is used to communicate between the system and the mobile application. The mobile application also keeps track of the usage of electricity and informs the user accordingly. The algorithm schedules home appliances based on the priority selected by the user, allowing for more careful use of available electricity. It also aids in distributing the power among the residential loads in both scenarios i.e., in case of sufficient electricity and in case of limited electricity allowing the highest priority appliance to keep working by restricting the power usage of lower priority devices.
{"title":"Algorithm for Priority Based Power Schedulingfor Residential Loads","authors":"Nivedita Patil, U. G. Patil","doi":"10.1109/CCGE50943.2021.9776380","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776380","url":null,"abstract":"Residential usage of power and its management have become one of the most pressing global challenges in recent years as domestic electricity demand continues to rise. To accomplish the efficient use of power in smart residences, in which technology is used for making every domestic electronic appliance act “smart” or automated, concerns about exchange of information among devices and power management techniques within the houses are required to be addressed. Given that the user has a limited amount of electricity, this paper discusses a system that allows the user to prioritize home appliances based on their daily usage. The mobile application assists the user in determining the appliance's priority and number of working hours as well as check the real-time status of the appliances. Wi-Fi is used to communicate between the system and the mobile application. The mobile application also keeps track of the usage of electricity and informs the user accordingly. The algorithm schedules home appliances based on the priority selected by the user, allowing for more careful use of available electricity. It also aids in distributing the power among the residential loads in both scenarios i.e., in case of sufficient electricity and in case of limited electricity allowing the highest priority appliance to keep working by restricting the power usage of lower priority devices.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127961161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-23DOI: 10.1109/CCGE50943.2021.9776321
Amit Kumar Chaturvedi, Kalpana Sharma, Divyat Mahajan
DDoS attacks are noticed from last many years but due to growing figure of such attacks in present time increases the awareness of them. Many researchers proposed useful detection and mitigation methods for such DDoS attacks. DDoS attack is somewhat simple to perform, hard to safeguard against, and the aggressor is once in a while followed back. The assailant dispatches a DDoS assault utilizing a botnet to produce immense measure of traffic against a casualty's web worker. The casualty might be a business association, government, or basic framework. The wellspring of the attack can be any gadget associated with the web. During the last one and half year of covid-19 pandemic, the exponential growth of about 542% for such attacks is noticed. As all the organizations started working online, the security solutions that provide a safe and secure online working environment are required more. Software-Defined Networks solution is the better option for such requirements. It is a stage towards the foundation of a dynamic and unified nature of the organization. In this paper, we have reviewed that challenges and solutions for SDN networks. The study reveals important detection and mit-igation methods and strategies against DDoS attacks.
{"title":"A Review on Issues and challenges for Protection against DDoS Attacks using Software-Defined Networks approach","authors":"Amit Kumar Chaturvedi, Kalpana Sharma, Divyat Mahajan","doi":"10.1109/CCGE50943.2021.9776321","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776321","url":null,"abstract":"DDoS attacks are noticed from last many years but due to growing figure of such attacks in present time increases the awareness of them. Many researchers proposed useful detection and mitigation methods for such DDoS attacks. DDoS attack is somewhat simple to perform, hard to safeguard against, and the aggressor is once in a while followed back. The assailant dispatches a DDoS assault utilizing a botnet to produce immense measure of traffic against a casualty's web worker. The casualty might be a business association, government, or basic framework. The wellspring of the attack can be any gadget associated with the web. During the last one and half year of covid-19 pandemic, the exponential growth of about 542% for such attacks is noticed. As all the organizations started working online, the security solutions that provide a safe and secure online working environment are required more. Software-Defined Networks solution is the better option for such requirements. It is a stage towards the foundation of a dynamic and unified nature of the organization. In this paper, we have reviewed that challenges and solutions for SDN networks. The study reveals important detection and mit-igation methods and strategies against DDoS attacks.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130777930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-23DOI: 10.1109/CCGE50943.2021.9776357
Sai krishna Gudepu, Vijay Kumar Burugari
In recent times, farming is a very important field in our Nation to improve the economy. In Agriculture, farmers have to do new learning to improve the economics of the country. In the old days, farmers automatically examine the weather conditions and start cropping, but at present due to illiteracy so many farmers are getting losses. In-order to overcome the problem, IoT and Machine learning are utilized to analyze climatic conditions like temperature, soil moisture levels, and pH levels, etc. with the help of sensors. But it possesses a problem with sensors there is an absence of communication between adjacent sensors, so to remove this “Kalman-Filter” algorithm is used. Whenever the climate change, the information is updated to the farmers using Google Assistant with the help of vigilant messages and voice calls in the regional language. These sensor values are stored in the “Adafruit” cloud storage. It has a problem with detecting weeds in rice farming; to overcome this support vector machine algorithm is used to separate weeds and plants. Genetic Algorithm is used for Analyzing weather situations to have an effect for farmers to raise the yield with high profits.
{"title":"Weather Prediction using Support Vector based Genetic Algorithm in Rice Farming","authors":"Sai krishna Gudepu, Vijay Kumar Burugari","doi":"10.1109/CCGE50943.2021.9776357","DOIUrl":"https://doi.org/10.1109/CCGE50943.2021.9776357","url":null,"abstract":"In recent times, farming is a very important field in our Nation to improve the economy. In Agriculture, farmers have to do new learning to improve the economics of the country. In the old days, farmers automatically examine the weather conditions and start cropping, but at present due to illiteracy so many farmers are getting losses. In-order to overcome the problem, IoT and Machine learning are utilized to analyze climatic conditions like temperature, soil moisture levels, and pH levels, etc. with the help of sensors. But it possesses a problem with sensors there is an absence of communication between adjacent sensors, so to remove this “Kalman-Filter” algorithm is used. Whenever the climate change, the information is updated to the farmers using Google Assistant with the help of vigilant messages and voice calls in the regional language. These sensor values are stored in the “Adafruit” cloud storage. It has a problem with detecting weeds in rice farming; to overcome this support vector machine algorithm is used to separate weeds and plants. Genetic Algorithm is used for Analyzing weather situations to have an effect for farmers to raise the yield with high profits.","PeriodicalId":130452,"journal":{"name":"2021 International Conference on Computing, Communication and Green Engineering (CCGE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128806604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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