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We use cookies and similar technologies for the following purposes: STORE AND/OR ACCESS INFORMATION ON A DEVICE Cookies, device or similar online identifiers (e.g. login-based identifiers, randomly assigned identifiers, network based identifiers) together with other information (e.g. browser type and information, language, screen size, supported technologies etc.) can be stored or read on your device to recognise it each time it connects to an app or to a website, for one or several of the purposes presented here. PERSONALISED ADVERTISING AND CONTENT, ADVERTISING AND CONTENT MEASUREMENT, AUDIENCE RESEARCH AND SERVICES DEVELOPMENT Advertising and content can be personalised based on your profile. Your activity on this service can be used to build or improve a profile about you for personalised advertising and content. Advertising and content performance can be measured. Reports can be generated based on your activity and those of others. Your activity on this service can help develop and improve products and services. Accept all cookies Reject optional cookies Manage preferences Skip to main content Advertisement Log in Menu Find a journal Publish with us Track your research Search Cart SEARCH Search by keyword or author Search NAVIGATION * Find a journal * Publish with us * Track your research 1. Home 2. Intelligent System Design 3. Conference paper TEAP-TECHNICALLY EQUIPPED AGRICULTURAL PRACTICE * Conference paper * First Online: 11 August 2020 * pp 361–367 * Cite this conference paper Intelligent System Design * N. Mangathayaru18, * M. Lakshmi Lashita18, * D. Sri Pallavi18 & * … * C. Mithila Reddy18 Show authors Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1171)) * 805 Accesses ABSTRACT Agriculture is one of the major sectors of the Indian economy. More than 50% of the entire population of India depends on agriculture. The main aim of this study is to improve farm produce by using analytics and real-time data monitoring with the help of Internet of Things (IoT). The Internet of Things has given an opportunity to farmers to cultivate soil with the use of cheap, easy-to-install sensors and an abundance of intuitive data that is offered by the sensors. Expanding on this yielding buildup of the Internet of Things in agriculture, smart farming applications are increasing ground with the promise to deliver 24/7 visibility into soil and crop health. This is a preview of subscription content, log in via an institution to check access. ACCESS THIS CHAPTER Log in via an institution SUBSCRIBE AND SAVE Springer+ Basic €34.99 /Month * Get 10 units per month * Download Article/Chapter or eBook * 1 Unit = 1 Article or 1 Chapter * Cancel anytime Subscribe now BUY NOW Chapter EUR 29.95 Price includes VAT (Germany) * Available as PDF * Read on any device * Instant download * Own it forever Buy Chapter eBook EUR 160.49 Price includes VAT (Germany) * Available as EPUB and PDF * Read on any device * Instant download * Own it forever Buy eBook Softcover Book EUR 213.99 Price includes VAT (Germany) * Compact, lightweight edition * Dispatched in 3 to 5 business days * Free shipping worldwide - see info Buy Softcover Book Tax calculation will be finalised at checkout Purchases are for personal use only Institutional subscriptions SIMILAR CONTENT BEING VIEWED BY OTHERS SMART AGRICULTURE SYSTEM IN INDIA USING INTERNET OF THINGS Chapter © 2019 APPLICATIONS OF INTERNET OF THINGS (IOT) IN AGRICULTURE - THE POTENTIAL AND CHALLENGES IN SMART FARM IN UGANDA Chapter © 2021 ADOPTION OF SMART AGRICULTURE USING IOT: A SOLUTION FOR OPTIMAL SOIL DECISION TREE MAKING Chapter © 2022 REFERENCES 1. Lin, J. S., & Liu, C. Z. (2008). A monitoring system based on wireless sensor network and an SoC platform in precision agriculture. In 2008 11th IEEE International Conference on Communication Technology (pp. 101–104). IEEE. Google Scholar 2. Kaewmard, N., & Saiyod, S. (2014). Sensor data collection and irrigation control on vegetable crop using smart phone and wireless sensor networks for smart farm. In Proceedings of the International Conference on Wireless Sensors (ICWiSE), pp. 106–112. Google Scholar 3. Kassim, M. R. M., Mat, I., & Harun, A. N. (2014). Wireless sensor network in precision agriculture application. In 2014 International Conference on Computer, Information and Telecommunication Systems (CITS) (pp. 1–5). IEEE. Google Scholar 4. Taylor, K., Griffith, C., Lefort, L., Gaire, R., Compton, M., Wark, T., et al. (2013). Farming the web of things. IEEE Intelligent Systems, 28(6), 12–19. Article Google Scholar 5. Gondchawar, N., & Kawitkar, R. S. (2016). IoT based smart agriculture. International Journal of advanced research in Computer and Communication Engineering, 5(6), 838–842. Google Scholar 6. Rajalakshmi, P., & Mahalakshmi, S. D. (2016). IOT based crop-field monitoring and irrigation automation. In 2016 10th International Conference on Intelligent Systems and Control (ISCO) (pp. 1–6). IEEE. Google Scholar Download references AUTHOR INFORMATION AUTHORS AND AFFILIATIONS 1. IT, VNRVJIET, Hyderabad, Telangana, India N. Mangathayaru, M. Lakshmi Lashita, D. Sri Pallavi & C. Mithila Reddy Authors 1. N. Mangathayaru View author publications You can also search for this author in PubMed Google Scholar 2. M. Lakshmi Lashita View author publications You can also search for this author in PubMed Google Scholar 3. D. Sri Pallavi View author publications You can also search for this author in PubMed Google Scholar 4. C. Mithila Reddy View author publications You can also search for this author in PubMed Google Scholar CORRESPONDING AUTHOR Correspondence to N. Mangathayaru . EDITOR INFORMATION EDITORS AND AFFILIATIONS 1. School of Computer Engineering, KIIT Demmed to be University, Bhubaneswar, Odisha, India Suresh Chandra Satapathy 2. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, Uttar Pradesh, India Vikrant Bhateja 3. Department of Computer Science and Engineering, PVP Siddhartha Institute of Technology, Vijayawada, Andhra Pradesh, India B. Janakiramaiah 4. College of Information Science and Engineering, Ritsumeikan University, Kyoto, Japan Yen-Wei Chen RIGHTS AND PERMISSIONS Reprints and permissions COPYRIGHT INFORMATION © 2021 Springer Nature Singapore Pte Ltd. ABOUT THIS PAPER CITE THIS PAPER Mangathayaru, N., Lakshmi Lashita, M., Sri Pallavi, D., Mithila Reddy, C. (2021). TEAP-Technically Equipped Agricultural Practice. In: Satapathy, S., Bhateja, V., Janakiramaiah, B., Chen, YW. (eds) Intelligent System Design. Advances in Intelligent Systems and Computing, vol 1171. Springer, Singapore. https://doi.org/10.1007/978-981-15-5400-1_37 DOWNLOAD CITATION * .RIS * .ENW * .BIB * DOI: https://doi.org/10.1007/978-981-15-5400-1_37 * Published: 11 August 2020 * Publisher Name: Springer, Singapore * Print ISBN: 978-981-15-5399-8 * Online ISBN: 978-981-15-5400-1 * eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0) SHARE THIS PAPER Anyone you share the following link with will be able to read this content: Get shareable link Sorry, a shareable link is not currently available for this article. Copy to clipboard Provided by the Springer Nature SharedIt content-sharing initiative PUBLISH WITH US Policies and ethics ACCESS THIS CHAPTER Log in via an institution SUBSCRIBE AND SAVE Springer+ Basic €34.99 /Month * Get 10 units per month * Download Article/Chapter or eBook * 1 Unit = 1 Article or 1 Chapter * Cancel anytime Subscribe now BUY NOW Chapter EUR 29.95 Price includes VAT (Germany) * Available as PDF * Read on any device * Instant download * Own it forever Buy Chapter eBook EUR 160.49 Price includes VAT (Germany) * Available as EPUB and PDF * Read on any device * Instant download * Own it forever Buy eBook Softcover Book EUR 213.99 Price includes VAT (Germany) * Compact, lightweight edition * Dispatched in 3 to 5 business days * Free shipping worldwide - see info Buy Softcover Book Tax calculation will be finalised at checkout Purchases are for personal use only Institutional subscriptions * Sections * References * Abstract * References * Author information * Editor information * Rights and permissions * Copyright information * About this paper * Publish with us 1. Lin, J. S., & Liu, C. Z. (2008). A monitoring system based on wireless sensor network and an SoC platform in precision agriculture. In 2008 11th IEEE International Conference on Communication Technology (pp. 101–104). IEEE. Google Scholar 2. Kaewmard, N., & Saiyod, S. (2014). Sensor data collection and irrigation control on vegetable crop using smart phone and wireless sensor networks for smart farm. In Proceedings of the International Conference on Wireless Sensors (ICWiSE), pp. 106–112. Google Scholar 3. Kassim, M. R. M., Mat, I., & Harun, A. N. (2014). Wireless sensor network in precision agriculture application. In 2014 International Conference on Computer, Information and Telecommunication Systems (CITS) (pp. 1–5). IEEE. Google Scholar 4. Taylor, K., Griffith, C., Lefort, L., Gaire, R., Compton, M., Wark, T., et al. (2013). Farming the web of things. IEEE Intelligent Systems, 28(6), 12–19. Article Google Scholar 5. Gondchawar, N., & Kawitkar, R. S. (2016). IoT based smart agriculture. International Journal of advanced research in Computer and Communication Engineering, 5(6), 838–842. Google Scholar 6. Rajalakshmi, P., & Mahalakshmi, S. D. (2016). IOT based crop-field monitoring and irrigation automation. In 2016 10th International Conference on Intelligent Systems and Control (ISCO) (pp. 1–6). IEEE. Google Scholar DISCOVER CONTENT * Journals A-Z * Books A-Z PUBLISH WITH US * Journal finder * Publish your research * Open access publishing PRODUCTS AND SERVICES * Our products * Librarians * Societies * Partners and advertisers OUR IMPRINTS * Springer * Nature Portfolio * BMC * Palgrave Macmillan * Apress * Your privacy choices/Manage cookies * Your US state privacy rights * Accessibility statement * Terms and conditions * Privacy policy * Help and support * Cancel contracts here 84.19.175.165 Not affiliated © 2024 Springer Nature