Pub Date : 2017-04-07DOI: 10.1109/TIAR.2017.8273678
R. Krishnan, R. S. Vishnu, T. Mohan, R. R. Bhavani
One of the labor intensive processes in rice cultivation is transplantation, where laborers have to work in a slouching position in puddled fields. This leads to physical ailments like musculoskeletal disorders (MSD). This paper discusses the design and testing of an efficient, cost effective and easily reproducible semi-automatic rice transplanting machine to eliminate the drudgery involved in the task, improve efficiency and productivity of farmer while keeping the human-in-the-loop. The focus of the design was to build a prototype using locally available materials. The cost savings of the new prototype was over 80 percent of the commercially available machines. Studies conducted using this prototype have shown that the semi automation process reduces labor effort by 17 percent and additionally reduced the time for transplantation.
{"title":"Design and fabrication of a low-cost rice transplanting machine","authors":"R. Krishnan, R. S. Vishnu, T. Mohan, R. R. Bhavani","doi":"10.1109/TIAR.2017.8273678","DOIUrl":"https://doi.org/10.1109/TIAR.2017.8273678","url":null,"abstract":"One of the labor intensive processes in rice cultivation is transplantation, where laborers have to work in a slouching position in puddled fields. This leads to physical ailments like musculoskeletal disorders (MSD). This paper discusses the design and testing of an efficient, cost effective and easily reproducible semi-automatic rice transplanting machine to eliminate the drudgery involved in the task, improve efficiency and productivity of farmer while keeping the human-in-the-loop. The focus of the design was to build a prototype using locally available materials. The cost savings of the new prototype was over 80 percent of the commercially available machines. Studies conducted using this prototype have shown that the semi automation process reduces labor effort by 17 percent and additionally reduced the time for transplantation.","PeriodicalId":149469,"journal":{"name":"2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125812743","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 : 2017-04-07DOI: 10.1109/TIAR.2017.8273720
P. Prabhakar, Vishwateja Mudiam Reddy, Naresh Vinay, U. N. Rao
The basic aim of having researched on a topic such as this one is to put an end to the drastically increasing and mostly overlooked number of criminal activities related to theft of exotic tree resources, especially in the Southern-Indian areas. By means of this proposed solution, we can deploy a surveillance system using electronics hardware which, not only will be able to pinpoint when such heinous activities are being conducted, but also inform us with the general life status of all the sensors, batteries and strength of the signal transmissions taking place whilst the day-to-day happenings in this newly energized tree plantation. Our ambitious plan also extends beyond the realm of just commercial plantations and forests by trying to look for feasible methods for surveillance of plantations and forests in general, which will go a long way in solving the problem of deforestation.
{"title":"Multi-node wireless surveillance system for commercial plantations","authors":"P. Prabhakar, Vishwateja Mudiam Reddy, Naresh Vinay, U. N. Rao","doi":"10.1109/TIAR.2017.8273720","DOIUrl":"https://doi.org/10.1109/TIAR.2017.8273720","url":null,"abstract":"The basic aim of having researched on a topic such as this one is to put an end to the drastically increasing and mostly overlooked number of criminal activities related to theft of exotic tree resources, especially in the Southern-Indian areas. By means of this proposed solution, we can deploy a surveillance system using electronics hardware which, not only will be able to pinpoint when such heinous activities are being conducted, but also inform us with the general life status of all the sensors, batteries and strength of the signal transmissions taking place whilst the day-to-day happenings in this newly energized tree plantation. Our ambitious plan also extends beyond the realm of just commercial plantations and forests by trying to look for feasible methods for surveillance of plantations and forests in general, which will go a long way in solving the problem of deforestation.","PeriodicalId":149469,"journal":{"name":"2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR)","volume":"3 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113931961","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 : 2017-04-07DOI: 10.1109/TIAR.2017.8273694
M. Nithya, S. Nagarajan, P. Navaseelan
Electricity produced from wind energy is one of the rapid growing power generation methods in the world. Kinetic energy in wind rotates the rotor blade in wind turbine system thus generating power. As the wind turbine system has many components, chance of fault development is more in the turbine system. System faults can lead to increased mechanical component degradation, severe reduction of asset performance, and a direct increase in annual maintenance costs. Possible faults in wind turbine system are blade angle asymmetry and yaw misalignment. This work focuses on the detection of faults in the wind turbine system using Artificial Neural Networks (NN). Modeling of turbine system is done by neural networks with the real time data. 600 samples are taken randomly and are used to train the neural network system; another 300 samples are taken for validation. Threshold limits are done by model error modeling method. For a fault free system, output should present inside the threshold limits. The best model is compared which precisely detect fault in the system.
{"title":"Fault detection of wind turbine system using neural networks","authors":"M. Nithya, S. Nagarajan, P. Navaseelan","doi":"10.1109/TIAR.2017.8273694","DOIUrl":"https://doi.org/10.1109/TIAR.2017.8273694","url":null,"abstract":"Electricity produced from wind energy is one of the rapid growing power generation methods in the world. Kinetic energy in wind rotates the rotor blade in wind turbine system thus generating power. As the wind turbine system has many components, chance of fault development is more in the turbine system. System faults can lead to increased mechanical component degradation, severe reduction of asset performance, and a direct increase in annual maintenance costs. Possible faults in wind turbine system are blade angle asymmetry and yaw misalignment. This work focuses on the detection of faults in the wind turbine system using Artificial Neural Networks (NN). Modeling of turbine system is done by neural networks with the real time data. 600 samples are taken randomly and are used to train the neural network system; another 300 samples are taken for validation. Threshold limits are done by model error modeling method. For a fault free system, output should present inside the threshold limits. The best model is compared which precisely detect fault in the system.","PeriodicalId":149469,"journal":{"name":"2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122428116","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 : 2017-04-07DOI: 10.1109/TIAR.2017.8273682
I. Mohanraj, V. Gokul, R. Ezhilarasie, A. Umamakeswari
In agriculture, despite large-scale funding and extension of irrigation services it is a serious concern that majority sectors are facing deficits in water management. Irrigation system is one of the major aspect to be enriched meeting the economic and sustainable challenges of the farmers. Recent trends in the area of Wireless Sensor Networks (WSN) have influenced a wide implementation of various applications in the area of precise agriculture. WSNs for environmental condition monitoring with defined knowledge are used for estimating crop growth and yield properties. The proposed system automates the irrigation and fertigation using WSN to make comparatively high yield than the traditional methods. Irrigation scheduling is estimated by use of WSN's real time monitoring of weather and soil properties. The exigent need for solving the constraints, Evapotranspiration (ET) system is integrated with irrigation module which uses Penman-Monteith FAO-56 model for calculating crop water need. The paper discusses the advantages of ICT intervention in agriculture domain. The system overcomes limitations of traditional agricultural procedures by utilizing water resource efficiently and also reducing labour cost. As a result, the proposed system helps in water conservation to a great extent and also reduces soil erosion as only the required fertilizers are injected via the drip system. The paper also includes the implementation and results of surface drip irrigation and sub-surface drip irrigation are implemented in maize and sugarcane field respectively.
{"title":"Intelligent drip irrigation and fertigation using wireless sensor networks","authors":"I. Mohanraj, V. Gokul, R. Ezhilarasie, A. Umamakeswari","doi":"10.1109/TIAR.2017.8273682","DOIUrl":"https://doi.org/10.1109/TIAR.2017.8273682","url":null,"abstract":"In agriculture, despite large-scale funding and extension of irrigation services it is a serious concern that majority sectors are facing deficits in water management. Irrigation system is one of the major aspect to be enriched meeting the economic and sustainable challenges of the farmers. Recent trends in the area of Wireless Sensor Networks (WSN) have influenced a wide implementation of various applications in the area of precise agriculture. WSNs for environmental condition monitoring with defined knowledge are used for estimating crop growth and yield properties. The proposed system automates the irrigation and fertigation using WSN to make comparatively high yield than the traditional methods. Irrigation scheduling is estimated by use of WSN's real time monitoring of weather and soil properties. The exigent need for solving the constraints, Evapotranspiration (ET) system is integrated with irrigation module which uses Penman-Monteith FAO-56 model for calculating crop water need. The paper discusses the advantages of ICT intervention in agriculture domain. The system overcomes limitations of traditional agricultural procedures by utilizing water resource efficiently and also reducing labour cost. As a result, the proposed system helps in water conservation to a great extent and also reduces soil erosion as only the required fertilizers are injected via the drip system. The paper also includes the implementation and results of surface drip irrigation and sub-surface drip irrigation are implemented in maize and sugarcane field respectively.","PeriodicalId":149469,"journal":{"name":"2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125917852","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 : 2017-04-07DOI: 10.1109/TIAR.2017.8273697
N. Gandhi, L. Armstrong, Manisha Nandawadekar
The process of developing knowledge from the use of large data sets as an input and extracting useful information as an output is referred to as data mining. This acquired knowledge can be further applied by domain experts for decision making. In present research data mining techniques were applied to the historical agricultural dataset of semi-arid climatic zone of India to extract knowledge for predicting rice crop yield of kharif season. Free and open source software WEKA (Waikato Environment for Knowledge Analysis) was used to apply data mining techniques for the present agricultural dataset. Sensitivity, specificity and accuracy were computed to validate the experimental results. F1 score was computed to measure the test's accuracy. MCC (Mathews Correlation Coefficient) and was used to measure the quality of classification. Mean absolute error (MAE), root mean squared error (RMSE), relative absolute error (RAE) and root relative squared error (RRSE) were also calculated. The study found that J48 and LADTree classifiers provided the best performance among the classifiers used for the semi-arid climatic zone of India data set.
{"title":"Application of data mining techniques for predicting rice crop yield in semi-arid climatic zone of India","authors":"N. Gandhi, L. Armstrong, Manisha Nandawadekar","doi":"10.1109/TIAR.2017.8273697","DOIUrl":"https://doi.org/10.1109/TIAR.2017.8273697","url":null,"abstract":"The process of developing knowledge from the use of large data sets as an input and extracting useful information as an output is referred to as data mining. This acquired knowledge can be further applied by domain experts for decision making. In present research data mining techniques were applied to the historical agricultural dataset of semi-arid climatic zone of India to extract knowledge for predicting rice crop yield of kharif season. Free and open source software WEKA (Waikato Environment for Knowledge Analysis) was used to apply data mining techniques for the present agricultural dataset. Sensitivity, specificity and accuracy were computed to validate the experimental results. F1 score was computed to measure the test's accuracy. MCC (Mathews Correlation Coefficient) and was used to measure the quality of classification. Mean absolute error (MAE), root mean squared error (RMSE), relative absolute error (RAE) and root relative squared error (RRSE) were also calculated. The study found that J48 and LADTree classifiers provided the best performance among the classifiers used for the semi-arid climatic zone of India data set.","PeriodicalId":149469,"journal":{"name":"2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR)","volume":"159 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125931129","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 : 2017-04-07DOI: 10.1109/TIAR.2017.8273688
Raj G Anvekar, R. Banakar
One of the prominent application segment of Internet of Things framework is in the Security Sector. It is important to arrive at a unique low cost solution to prevent theft and ensure security to members of the home. The Internet of Things(IoT) Layered Architecture based design approach assists the system designer to conveniently differentiate the system component requirements distinctly at various layers. This papers highlights the model driven development process for Home Security System. It remarks the uses of customers end application such as Telegram to securely transmit information through layers of IoT architecture. This paper aims at providing a low-power, cost effective and unobtrusive IoT based home security system which assist in presence detection, identification and authentication of stranger. The proposed solution makes use of USB Webcam as an image capturing unit, Electric Door Strike as an actuator and Telegram which has an amazing feature as Telegram Bot which provide APIs to build solutions which is compatible with Raspberry Pi IoT infrastructure.
{"title":"IoT application development: Home security system","authors":"Raj G Anvekar, R. Banakar","doi":"10.1109/TIAR.2017.8273688","DOIUrl":"https://doi.org/10.1109/TIAR.2017.8273688","url":null,"abstract":"One of the prominent application segment of Internet of Things framework is in the Security Sector. It is important to arrive at a unique low cost solution to prevent theft and ensure security to members of the home. The Internet of Things(IoT) Layered Architecture based design approach assists the system designer to conveniently differentiate the system component requirements distinctly at various layers. This papers highlights the model driven development process for Home Security System. It remarks the uses of customers end application such as Telegram to securely transmit information through layers of IoT architecture. This paper aims at providing a low-power, cost effective and unobtrusive IoT based home security system which assist in presence detection, identification and authentication of stranger. The proposed solution makes use of USB Webcam as an image capturing unit, Electric Door Strike as an actuator and Telegram which has an amazing feature as Telegram Bot which provide APIs to build solutions which is compatible with Raspberry Pi IoT infrastructure.","PeriodicalId":149469,"journal":{"name":"2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123030574","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 : 2017-04-07DOI: 10.1109/TIAR.2017.8273689
Bannaravuri Amrutha Valli, Prathiba Jonnala
The population of our present world has raised tremendously which in turn leading to some new changes in the human kind. In accordance with the basic necessities, the comfort living of human life with the luxuries and life styles are also customized in such a way that, instead of using public transportation every individual want to have their own vehicle, which may result in heavy traffic and unnecessary accidents. By this the number of private vehicles increased a lot which resulted in more number of accidents and as well as pollution which is going to be a great loss to this environment. On the other hand there is no security for the vehicles as they are getting stolen by thieves easily. The accident discovery and its identification of exact location is the overall idea of the paper. With a new technology through which one can effectively know about his vehicle conditions. For this, the paper adopted two different technologies namely embedded and android. Embedded technology is used to detect the accident using accelerometer sensor and android technology is used to determine the name of that location instead of latitude and longitude values so that even a layman can understand these values and can know about the vehicle location. An android app that specifies the location name when the mobile receives GPS data plays a major role in the paper. Thus, with this the user could be knowing about his vehicle location and condition through which positioning and locating a vehicle can be done in an easy and simple manner with less cost and more effectiveness. Embedded C programming and android app development are employed to perform the application.
{"title":"Vehicle positioning system with accident detection using accelerometer sensor and Android technology","authors":"Bannaravuri Amrutha Valli, Prathiba Jonnala","doi":"10.1109/TIAR.2017.8273689","DOIUrl":"https://doi.org/10.1109/TIAR.2017.8273689","url":null,"abstract":"The population of our present world has raised tremendously which in turn leading to some new changes in the human kind. In accordance with the basic necessities, the comfort living of human life with the luxuries and life styles are also customized in such a way that, instead of using public transportation every individual want to have their own vehicle, which may result in heavy traffic and unnecessary accidents. By this the number of private vehicles increased a lot which resulted in more number of accidents and as well as pollution which is going to be a great loss to this environment. On the other hand there is no security for the vehicles as they are getting stolen by thieves easily. The accident discovery and its identification of exact location is the overall idea of the paper. With a new technology through which one can effectively know about his vehicle conditions. For this, the paper adopted two different technologies namely embedded and android. Embedded technology is used to detect the accident using accelerometer sensor and android technology is used to determine the name of that location instead of latitude and longitude values so that even a layman can understand these values and can know about the vehicle location. An android app that specifies the location name when the mobile receives GPS data plays a major role in the paper. Thus, with this the user could be knowing about his vehicle location and condition through which positioning and locating a vehicle can be done in an easy and simple manner with less cost and more effectiveness. Embedded C programming and android app development are employed to perform the application.","PeriodicalId":149469,"journal":{"name":"2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117172070","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 : 2017-04-07DOI: 10.1109/TIAR.2017.8273714
S. S. Raja, R. Rishi, E. Sundaresan, V. Srijit
About half of the population of India depends on agriculture for its livelihood, but its contribution towards the GDP of India is only 14 per cent. One possible reason for this is the lack of adequate crop planning by farmers. There is no system in place to advice farmers what crops to grow. In this paper we present an attempt to predict crop yield and price that a farmer can obtain from his land, by analysing patterns in past data. We make use of a sliding window non-linear regression technique to predict based on different factors affecting agricultural production such as rainfall, temperature, market prices, area of land and past yield of a crop. The analysis is done for several districts of the state of Tamilnadu, India. Our system intends to suggest the best crop choices for a farmer to adapt to the demand of the prevailing social crisis facing many farmers today.
{"title":"Demand based crop recommender system for farmers","authors":"S. S. Raja, R. Rishi, E. Sundaresan, V. Srijit","doi":"10.1109/TIAR.2017.8273714","DOIUrl":"https://doi.org/10.1109/TIAR.2017.8273714","url":null,"abstract":"About half of the population of India depends on agriculture for its livelihood, but its contribution towards the GDP of India is only 14 per cent. One possible reason for this is the lack of adequate crop planning by farmers. There is no system in place to advice farmers what crops to grow. In this paper we present an attempt to predict crop yield and price that a farmer can obtain from his land, by analysing patterns in past data. We make use of a sliding window non-linear regression technique to predict based on different factors affecting agricultural production such as rainfall, temperature, market prices, area of land and past yield of a crop. The analysis is done for several districts of the state of Tamilnadu, India. Our system intends to suggest the best crop choices for a farmer to adapt to the demand of the prevailing social crisis facing many farmers today.","PeriodicalId":149469,"journal":{"name":"2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126602119","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 : 2017-04-07DOI: 10.1109/TIAR.2017.8273707
S.GNANAPRIYA GP, P. Esakkipriya, R. Kavipriya, C. Sangeethakamatchi, M. Sandhya
The proposed approach to organic food assurance uses image features like size and color as basic features to classify the fruit as no two objects in the real world will have the same size and color. Color moments is used to extract the color features from the image and sobel edge detection and region props function is used to extraxt the size information. From the extracted values a fruit is categorized as either organic or non organic based on the fixed threshold for color and size.
{"title":"Identification of organic fruits using color and size features","authors":"S.GNANAPRIYA GP, P. Esakkipriya, R. Kavipriya, C. Sangeethakamatchi, M. Sandhya","doi":"10.1109/TIAR.2017.8273707","DOIUrl":"https://doi.org/10.1109/TIAR.2017.8273707","url":null,"abstract":"The proposed approach to organic food assurance uses image features like size and color as basic features to classify the fruit as no two objects in the real world will have the same size and color. Color moments is used to extract the color features from the image and sobel edge detection and region props function is used to extraxt the size information. From the extracted values a fruit is categorized as either organic or non organic based on the fixed threshold for color and size.","PeriodicalId":149469,"journal":{"name":"2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR)","volume":"46 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125901018","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 : 2017-04-07DOI: 10.1109/TIAR.2017.8273684
Kainat Affrin, P. Reshma, G. N. Kumar
Modernization has increased the living standards, along with hazardous situation with Air-pollution growing each day responsible for respiratory diseases and equally affecting Agriculture. Farmers address challenges of pests and diseases practices in general leaving behind a major challenge of Air pollution. The rapid increase in the use of Road Transport increases the Air-Pollution abruptly causing the adverse effect on agriculture. Monitoring the effect of Air-Pollution on the Agriculture with wireless sensor networks has given good result by decreasing road transport vehicles and introduce alternate mode in Rural Area.
{"title":"Monitoring effect of air pollution on agriculture using WSNs","authors":"Kainat Affrin, P. Reshma, G. N. Kumar","doi":"10.1109/TIAR.2017.8273684","DOIUrl":"https://doi.org/10.1109/TIAR.2017.8273684","url":null,"abstract":"Modernization has increased the living standards, along with hazardous situation with Air-pollution growing each day responsible for respiratory diseases and equally affecting Agriculture. Farmers address challenges of pests and diseases practices in general leaving behind a major challenge of Air pollution. The rapid increase in the use of Road Transport increases the Air-Pollution abruptly causing the adverse effect on agriculture. Monitoring the effect of Air-Pollution on the Agriculture with wireless sensor networks has given good result by decreasing road transport vehicles and introduce alternate mode in Rural Area.","PeriodicalId":149469,"journal":{"name":"2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122186992","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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