Weedinator- Weed Identification and Removal Using Image Processing

Authors

  • Ms. Dipali D. Jadhav Assistant Professor, Department of E&TC Engineering, PESCOE, Phaltan, Maharashtra, India
  • Mrs. Pallavi S. Jadhav Assistant Professor, Department of E&TC Engineering, PESCOE, Phaltan, Maharashtra, India
  • Ms. Mayuri G. Khandalkar Assistant Professor, Department of E&TC Engineerin, PESCOE, Phaltan, Maharashtra, India
  • Mr. Anup B. Kumbhar Assistant Professor, Department of E&TC Engineerin, PESCOE, Phaltan, Maharashtra, India

Keywords:

Agriculture, Crop, Image Processing, Raspberry Pi, Weed Detection, Weed Removal.

Abstract

Agriculture is facing crisis in terms of production due to unwanted weed among the crops. The main objective of this work is a weed control system that differentiates the weed from crops and restricts weed growth alone by the precise removal of it. This is implemented in real time by capturing the images of the field at regular intervals and processing them with a Raspberry Pi board by making use of an image processing algorithm to differentiate the desired plants from the weeds. This is based on features like color and size of the crop and weed. Once the weeds are identified and located correctly through image processing, a signal is transmitted from the Raspberry Pi board to turn on the weed cutting system and spraying herbicides for required area only.

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Published

2023-07-15

Issue

2023: NCETSAE - July

Section

Articles

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