IoT Based Recommendations for Crop Growth Management System
D. Narendar Singh1, G. Ashwini2, K.Uma Rani3
1D. Narendar Singh, Department of Electronics and Communication Engineering, Anurag Group of Institutions, Ghatkesar, Hyderabad (Telangana), India.
2G. Ashwini, Assistant Professor, Department of Electronics and Communication Engineering, Anurag Group of Institutions, Ghatkesar, Hyderabad (Telangana), India.
3K. Uma Rani, Department of Electronics and Communication Engineering, Anurag Group of Institutions, Ghatkesar, Hyderabad (Telangana), India.
Manuscript received on 24 September 2018 | Revised Manuscript received on 30 September 2018 | Manuscript published on 30 November 2018 | PP: 290-293 | Volume-7 Issue-4, November 2018 | Retrieval Number: E1846017519©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: It is mandatory to maintain good crop growth in every area like cotton, rice, jute, maize, etc., the proposed system consists of an IOT module that is used to monitor the state of each crop to grow in a good condition by providing requirements to it generally crop may not grow due to temperature rainfall moisture and pressure there are the primary requirements for which a crop to grow healthy to overcome this problem we are using sensors like water temperature, soil moisture, BME280 and wind velocity, all this sensors are connected to ESP32 and will detect the present value according to the climate and soil condition and transform the data from sensor to the cloud in which I have already stored the values all the detected values, which are transformed from controller to cloud and through web app all the detected values like climate, soil condition are displayed whether in normal condition or not and if the detected values proceed and exceed it alert and gives suggestion to farmer. Good condition cloud after receiving data compare with the default values all the detected values which are transformed from controller to cloud and through web app all the detected values will be displayed and climate ,soil condition are displayed weather in normal condition or not and if the detected values proceed and exceed it alert and gives suggestion to farmer.
Keywords: BME280, Soil Moisture Sensor, Water temperature Sensor, Wind Velocity Sensor ESP32, Cloud, web application
Scope of the Article: IoT