An Enhanced Linear Regression model for Controlled Environment Agriculture

  • Vidyabharathi D., Vinothkumar R. B., Theetchenya S., Kowsalya M., Lhavanya T. V., Nishanthi P.

Abstract

                The agricultural sector is India's largest industry, providing jobs to India's fifty percent workforce. Each and every sector in India is directly or indirectly connected to the agriculture sector, despite this the technology development is much less. Farmers tend to use traditional farming techniques, the advanced technologies are either costly or farmer-needed. This paper seeks to address the framework of economic irrigation and create a greater impact on the agricultural sector. Depending on the soil type, temperature and humidity the water will be supplied to the field in this process. It uses a linear regression algorithm. It is planned to show all details in the cell phone of Android. Different nodes in exclusive locations are connected via IoT which transmits and acquires the data in a node which transmits the reputation of the crop region to the user via IoT to control the pumping device.

Published
2020-06-01
How to Cite
Vidyabharathi D., Vinothkumar R. B., Theetchenya S., Kowsalya M., Lhavanya T. V., Nishanthi P. (2020). An Enhanced Linear Regression model for Controlled Environment Agriculture. International Journal of Advanced Science and Technology, 29(08), 2235 - 2242. Retrieved from https://sersc.org/journals/index.php/IJAST/article/view/23371
Section
Articles