Abstract
Smart agriculture systems with combinations of advanced technologies are used in an attempt to increase the competence of certain farming activities and the standard of living for farm employees by reducing significant labor and tedious tasks. Internet-of-things-based sensors are capable of providing such information about smart agriculture and then acting upon predictions using data analysis. The proposed methodology works alongside a cloud-based server and a mobile-based device (ideally an Android/iOS device) to assist the user in regulating the standing of the plant as monitored by a mix of software packages and hardware devices. Our system detects changes in the moisture, temperature, and light intensity conditions in and around the plant and performs a learning-based call to supply necessary irrigation and illumination to plants. It permits the user to update, manage, and monitor using wireless sensing element networks. The sensors measure the aforementioned parameters and store the data within the cloud, which users can access at any time from anywhere. Farmers will have access to the most up-to-date knowledge so that they can act accordingly and make modifications as needed. This smart planting has become a core tool associated with cost-effective technology in agricultural modernization technologies. The proposed smart modern agriculture tool can be used to monitor climatic factors such as temperature, moisture, and virtually all environmental parameters relevant to the growth of plants.
Highlights
Farmers depend on rain and bore wells for the irrigation of their farmland
6, the soil moisture sensor is connected to thetheArduino, and Arduino board is connected to the laptop
We have found here the value of light intensity after 3 h
Summary
Farmers depend on rain and bore wells for the irrigation of their farmland. Farmers are mistreated with farm irrigation techniques, which are labor-intensive during irrigation due to the need to turn the water pump on or off as required in routine intervals. The objective of this paper is to present an approach allowing farms to intelligently manage the plant system from anywhere at any time. The overall health of a plant and the need for water is analyzed by using the parameters temperature, humidity, light intensity, and soil moisture. Technology, our proposed system measures the soil moisture, and whenever it gets dry, it gives an alert to the device so watering can be managed on time. We used some hardware devices to Symmetry 2020, 12, 457; doi:10.3390/sym12030457 www.mdpi.com/journal/symmetry
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
