Automatic Arial Vehicle Based Pesticides Spraying System for Crops
Madhukar S.Chavan
Madhukar S.Chavan, Professor and PG Co-ordinator in E&TC Engg. Department of P.V.P. Institute of Technology Budhgaon, Sangli.
Manuscript received on 02 September 2019. | Revised Manuscript received on 22 September 2019. | Manuscript published on 30 September 2019. | PP: 41-44 | Volume-8 Issue-11, September 2019. | Retrieval Number: J99150881019/2019©BEIESP | DOI: 10.35940/ijitee.J9915.0981119
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: Aircraft are becoming unmanned increasingly popular as demands for increasing population and agriculture are being met. With the right cameras, detectors and components, Drones will contribute to a simple, effective and accurate cultivation. The solutions proposed for these drones can help improve things even further if they are integrated into various machine learning concepts and internet concepts. This document highlights the related work in this area along with suggested solutions that can be integrated into drones using the result of the Microcontroller 8051 module.
Keywords: ADXL 335, ESP 8266, GPS.
Scope of the Article: Remote Sensing, GIS and GPS