2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR)最新文献_第2页

Design and fabrication of a low-cost rice transplanting machine 一种低成本插秧机的设计与制造

2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR) Pub Date : 2017-04-07 DOI: 10.1109/TIAR.2017.8273678

R. Krishnan, R. S. Vishnu, T. Mohan, R. R. Bhavani

引用次数: 5

Multi-node wireless surveillance system for commercial plantations 商用种植园多节点无线监控系统

2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR) Pub Date : 2017-04-07 DOI: 10.1109/TIAR.2017.8273720

P. Prabhakar, Vishwateja Mudiam Reddy, Naresh Vinay, U. N. Rao

引用次数: 0

Fault detection of wind turbine system using neural networks 基于神经网络的风力发电系统故障检测

2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR) Pub Date : 2017-04-07 DOI: 10.1109/TIAR.2017.8273694

M. Nithya, S. Nagarajan, P. Navaseelan

引用次数: 8

Intelligent drip irrigation and fertigation using wireless sensor networks 使用无线传感器网络的智能滴灌和施肥

2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR) Pub Date : 2017-04-07 DOI: 10.1109/TIAR.2017.8273682

I. Mohanraj, V. Gokul, R. Ezhilarasie, A. Umamakeswari

{"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}

引用次数: 14

Application of data mining techniques for predicting rice crop yield in semi-arid climatic zone of India 数据挖掘技术在印度半干旱气候区水稻产量预测中的应用

2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR) Pub Date : 2017-04-07 DOI: 10.1109/TIAR.2017.8273697

N. Gandhi, L. Armstrong, Manisha Nandawadekar

{"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}

引用次数: 8

IoT application development: Home security system 物联网应用开发:家庭安防系统

2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR) Pub Date : 2017-04-07 DOI: 10.1109/TIAR.2017.8273688

Raj G Anvekar, R. Banakar

引用次数: 14

Vehicle positioning system with accident detection using accelerometer sensor and Android technology 车辆定位系统采用加速度传感器和Android技术进行事故检测

2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR) Pub Date : 2017-04-07 DOI: 10.1109/TIAR.2017.8273689

Bannaravuri Amrutha Valli, Prathiba Jonnala

{"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}

引用次数: 9

Demand based crop recommender system for farmers 基于需求的农民作物推荐系统

2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR) Pub Date : 2017-04-07 DOI: 10.1109/TIAR.2017.8273714

S. S. Raja, R. Rishi, E. Sundaresan, V. Srijit

引用次数: 38

Identification of organic fruits using color and size features 利用颜色和大小特征识别有机水果

2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR) Pub Date : 2017-04-07 DOI: 10.1109/TIAR.2017.8273707

S.GNANAPRIYA GP, P. Esakkipriya, R. Kavipriya, C. Sangeethakamatchi, M. Sandhya

引用次数: 6

Monitoring effect of air pollution on agriculture using WSNs 利用无线传感器网络监测大气污染对农业的影响

2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR) Pub Date : 2017-04-07 DOI: 10.1109/TIAR.2017.8273684

Kainat Affrin, P. Reshma, G. N. Kumar

引用次数: 7