Basic Design of Smart Irrigation Robot

Abstract

In the face of a focus on development, agriculture remains one of the most important parts of the Indian financial system because it contributes to GDP and provides employment for billions of people across the country. Horticulture is an agribusiness of the rancher that participates in the Indian monetary administration framework. In excess of 75% of homestead, families rely upon horticulture for their business. However, crop pest infestation is a serious issue that impedes agricultural production growth. Crop sickness distinguishing proof in the horticultural area is crucial for manage such issues. The CNN algorithm is used to diagnose crop diseases, and this paper offers a technical solution that involves automatic pesticide spraying to spray pesticides on the affected crops locally. Sprays of pesticides form the basis of the system. Image acquisition, image pre-processing, image segmentation, feature extraction, and classifications, as well as automatic pesticide application to the crop, are the three components of the design.

Cite as

S.V. Janugade, Ganesh Bagal, Avdhut Gujar, Sandeep Reke, Ganesh Mohite, & Sarang Jamdar. (2023). Basic Design of Smart Irrigation Robot. Recent Trends in Automation and Automobile Engineering, 6(2), 1–3. https://doi.org/10.5281/zenodo.7984492