Smart Solution for Agriculture Leaf Disease
Rajlaxmi Chavan1, A. M. Rawate2, A. S. Paymode3

1Ms. Rajlaxmi P. Chavan*, MTech Student, Department of Electronics and Telecommunications Engineering, CSMSS, Chh. Shahu College of Engineering, Aurangabad (Maharashtra), India.
2Prof. A.M.Rawate, Head of Department, Department of Electronics and Telecommunication Engineering, CSMSS, Chh. Shahu College of Engineering, Aurangabad (Maharashtra), India.
3Prof. A.S. Paymode, Assistant Professor, Department of Electronics and Telecommunication Engineering, CSMSS, Chh. Shahu College of Engineering, Aurangabad (Maharashtra), India.
Manuscript received on August 07, 2020. | Revised Manuscript received on August 15, 2020. | Manuscript published on August 30, 2020. | PP: 499-504 | Volume-9 Issue-6, August 2020. | Retrieval Number: B3823129219/2020©BEIESP | DOI: 10.35940/ijeat.B3823.089620
Open Access | Ethics and Policies | Cite | Mendeley
© 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: Agriculture is a very broad term encompassing all aspects of crop production,Livestock farming, Fisheries, Forestry etc. It may be defined as the art, the science and the business of producing crops and livestock for man’s use and employment. Agriculture is influenced by a large number of factors, some of which can be controlled by man(soil and irrigation) which others are beyond the control(climate). As we know Population pressure is increasing but area under cultivation is static, therefore more number of crops have to be grown on the same piece of land to increase the yield. As a result, intensive cropping has come into practice. for this purpose we are using the system which is pocket friendly as well as effective to the farmers. Through which they can get accurate information about their crop plants.
Keywords: Opencv, Python, Numpy, Sensor, Raspberry Pi, GSM