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Analysis on Weed Identification using Deep Learning and Image Processing in Vegetable Plantation
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 185 - Number 1 |
| Year of Publication: 2023 |
| Authors: Rahul, Rajeev Thakur |
10.5120/ijca2023922612
|
Rahul, Rajeev Thakur . Analysis on Weed Identification using Deep Learning and Image Processing in Vegetable Plantation. International Journal of Computer Applications. 185, 1 ( Apr 2023), 19-23. DOI=10.5120/ijca2023922612
Abstract
This analysis should determine which weeds are present in the field and the density of those weeds so that herbicides targeting those weeds may be selected. The process of identifying the weeds become more challenging when both plant and weed regions overlap (inter-leaves). The proposed system addresses this problem by creating a sophisticated means for weed identification. The major components of this system are composed of three processes: Image Segmentation, Feature Extraction, and Decision-Making. In the Image Segmentation process, the input images are processed into lower units where the relevant features are extracted.
References
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- Md. Najmul Mowla, Mustafa Gok “Weeds Detection Networks” 2021.
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- Aichen Wang , Yifei Xu , Xinhua Wei , And Bingbo Cui “Semantic Segmentation of Crop and Weed using an Encoder-Decoder Network and Image Enhancement Method under Uncontrolled Outdoor Illumination”2020.
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- Asha KR, Aman Mahore, Pankaj Malkani and Akshay Kumar Singh “Robotics-automation and sensor-based approaches in weed detection and control”2020.
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- Aichen Wang , Wen Zhangb , Xinhua Weia “A review on weed detection using ground-based machine vision and image processing techniques” Volume 158, March 2019, Pages 226-240
- Om Tiwari, Vidit Goyal, Pramod Kumar, Sonakshi Vij “An experimental set up for utilizing convolutional neural network in automated weed detection” 2019.
- Mahdi Maktabdar Oghaz , Manzoor Razaak, Hamideh Kerdegari, Vasileios Argyriou, Paolo Remagnino “Scene and Environment Monitoring Using Aerial Imagery and Deep Learning” 2019.
- Shinji Kawakura “Accuracy Analyses for Detecting Small Creatures Using an OpenCV-Based System with AI for Caffe’s Deep Learning Framework” Vol. 6, No. 3, September 2019.
- Radhika Shetty , Roopa G “Weed Detection using Image Filtering in Vegetables Crops” ISSN: 2278-0661,p-ISSN: 2278-8727, Volume 21, Issue 1, Ver. I (Jan - Feb 2019), PP 61-64 2019.
- R. P. L. Durgabai, P. Bhargavi & S. Jyothi “Pest Management Using Machine Learning Algorithms: A Review” ISSN (P): 2249-6831; ISSN (E): 2249-7943 Vol. 8, Issue 1, Feb 2018, 13-22 2018.
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