Productivity Improvement in Agriculture sector using Big Data Tools

被引:0
|
作者
Sekhra, Ch. Chandra [1 ]
Sekhar, Ch. [2 ]
机构
[1] AITAM, Dept IT, Srikakulam, AP, India
[2] Vignans IIT, Dept CSE, Visakhapatnam, AP, India
关键词
Agriculture; Big Data; Mobile application;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The traditional methods used by the farmers, particularly in India, are very slow, undependable and large amount of crops are damaged in fields due to bacterial attacks and lack of information resources. Annually, such loss exceeds 40% in total. The main goal is to provide feasible solution for the finding problems and to enhance the productivity of the agriculture sector. The main awareness of this work is focused on Indian farmers as it addresses the key problems of getting the market status of different products, weather alerts and also provides multiple language support. This will effectively help farmers to sell their products in global market and earn remarkable profit. At the same time it's a big challenge of getting information about weather situations, kind of fertilization need to use based type of crop. Due to lack of communication to farmers production was not good, also government sanctioning various schemes, benefits towards agriculture sectors and farmers towards their wealth. There is scope to maintain the information of all these and analyze properly and communicate with farmers. This kind of analysis can he done with latest technologies such as big data analytical tools. A real monitor system needed to communicate with farmers, time to time with support of mobile based application.
引用
收藏
页码:169 / 172
页数:4
相关论文
共 50 条
  • [1] Productivity improvement using industrial engineering tools
    Salaam, H. A.
    How, S. B.
    Faisae, M. F.
    [J]. 1ST INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING RESEARCH 2011 (ICMER2011), 2012, 36
  • [2] Big data at work: Age and labor productivity in the service sector
    Borsch-Supan, Axel
    Hunkler, Christian
    Weiss, Matthias
    [J]. JOURNAL OF THE ECONOMICS OF AGEING, 2021, 19
  • [3] USING BIG DATA IN THE GOVERNMENT SECTOR
    Alexandru, Adriana
    Coardos, Dora
    Tudora, Eleonora
    [J]. INTERNATIONAL CONFERENCE ON INFORMATICS IN ECONOMY, IE 2016: EDUCATION, RESEARCH & BUSINESS TECHNOLOGIES, 2016, : 283 - 288
  • [4] Medical Big Data Analysis Using Big Data Tools and Methods
    Alhussain, Thamer
    [J]. JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2018, 8 (04) : 793 - 795
  • [5] Improvement of software quality and productivity using development tools
    Abotani, Hideo
    Shiratori, Tomoki
    Sasaki, Kouji
    Tonomura, Masaki
    [J]. FUJITSU SCIENTIFIC & TECHNICAL JOURNAL, 2006, 42 (03): : 323 - 332
  • [6] USING BIG DATA IN THE REAL ESTATE SECTOR
    Almansour, Aseel
    [J]. ADVANCES AND APPLICATIONS IN STATISTICS, 2021, 67 (02) : 207 - 224
  • [7] Feedback Analysis Using Big Data Tools
    Yadav, Kusum
    Pandey, Manjusha
    Rautaray, Siddharth Swarup
    [J]. PROCEEDINGS OF 2016 INTERNATIONAL CONFERENCE ON ICT IN BUSINESS INDUSTRY & GOVERNMENT (ICTBIG), 2016,
  • [8] Service benchmarking: Towards the productivity improvement in service sector by data utilization
    Okuma, Takashi
    Matsumoto, Mitsutaka
    Kinoshita, Takashi
    [J]. Journal of the Institute of Electronics, Information and Communication Engineers, 2014, 97 (12): : 1115 - 1120
  • [9] The ethics of big data in big agriculture
    Carbonell, Isabelle M.
    [J]. INTERNET POLICY REVIEW, 2016, 5 (01):
  • [10] Data Sharing Using Verifiable Credentials in the Agriculture Sector
    Ashley, Paul
    [J]. DISTRIBUTED LEDGER TECHNOLOGY, SDLT 2023, 2024, 1975 : 72 - 81