editedbook
A RISING TENDENCY IN HUMANS’ FARMING AND LINKING FARMERS TO DATA SCIENCE& IOT TECHNOLOGY
Area/Stream: Computing Technologies and Data Sciences,
Authors: Dr. Madhavi Pingili,Dr. A Arun Kumar
Keywords: E-agriculture, Data Science technology, Sciences, GPS
Book Name /series: Futuristic Trends in Computing Technologies and Data Sciences,Volume 2, Book 18, Part 3, Chapter 2
Publication: IIP Proceedings
Year: 2022,
Month: November
Page No: 161-169,
ISSN/ISBN: 978-81-959356-3-5,
DOI/Link: https://rsquarel.org/assets/docupload/rsl20239DF3619322AE60A.pdf
Abstract:
A potential invention that can be connected in a wide range of areas, from natural observation to fiasco the executives, is a particularly appointed system. Additionally, specially designed technologies can be used to automate procedures in a wide range of contemporary applications. Occasions, for example, quakes can frequently serve to represent the shortcoming of midway overseen systems and the significance of innovative work in impromptu systems Technology in data science to make smarter decisions, reduce costs, and boost production of crops through GPS – based application development for web and mobile platforms to keep track of farm feeds and check soil moisture levels, wearable device integration to connect with the farmer's community and share information among them to updates day-today activities. Automation of farm equipment through online marketing, data warehousing, management, cloud-based services for weather, maps, visual aids to comprehend data for a faster decision-making system. Space technology aids in the urgent need for quick, objective information regarding India's crop status. It gives digital data that may be used for a variety of analyses that call for details about different types of crops, estimated crop areas, crop conditions, agricultural damages, crop growth, etc.
Cite this: Dr. Madhavi Pingili,Dr. A Arun Kumar,"A RISING TENDENCY IN HUMANS’ FARMING AND LINKING FARMERS TO DATA SCIENCE& IOT TECHNOLOGY", Futuristic Trends in Computing Technologies and Data Sciences,Volume 2, Book 18, Part 3, Chapter 2, November, 2022, 161-169, 978-81-959356-3-5, https://rsquarel.org/assets/docupload/rsl20239DF3619322AE60A.pdf