A survey on image processing methodologies for crop and weed detection

M Renukadevi, CM Sulaikha - Annals of the Romanian society for …, 2021 - annalsofrscb.ro
Artificial intelligence is nowadays a fast-growing area of study, in particular deep learning.
One of its different uses is object recognition and computer vision. This work is intended by …

Crop and weed detection using image processing and deep learning techniques

L Chaaro, L Martínez Antón - 2020 - diva-portal.org
Artificial intelligence, specifically deep learning, is a fast-growing research field today. One
of its various applications is object recognition, making use of computer vision. The …

Image segmentation in agriculture crop and weed detection using image processing and deep learning techniques

K Singh, R Rawat, A Ashu - International Journal of Research in …, 2021 - journal.ijresm.com
Artificial Intelligence, specifically deep learning, is a fast-growing research field today. One
of its various applications is object recognition, making use of computer vision. The …

The Identification of Weeds and Crops Using the Popular Convolutional Neural Networks

M Habib, S Sekhra, A Tannouche… - … Conference on Digital …, 2023 - Springer
The weeds compete with the crops for the nutrients. However, it is necessary to control
weeds in order to prevent them from affecting the productivity of the land. In the context of the …

Application of Deep Neural Networks for Weed Detection and Classification

R Ganesan, G Manjula, M Chandan… - … on Applied Artificial …, 2023 - ieeexplore.ieee.org
Weeds compete for natural resources both in forest areas, harming the development of
native vegetation, and in agricultural areas, affecting crop quality. The need then arises to …

An intelligent vision based pest detection system using RCNN based deep learning mechanism

R Dalai, KK Senapati - … on Recent Advances in Energy-efficient …, 2019 - ieeexplore.ieee.org
The necessity to control pests and diseases by biological means using computer and
internet technology instead of pesticides to protect crops is a primary objective of this work …

A framework for weed detection in agricultural fields using image processing and machine learning algorithms

B Maram, S Das, T Daniya… - … Conference on Intelligent …, 2022 - ieeexplore.ieee.org
Weeds are a nuisance for farmers, and they're also bad for their crops. Crop growth could be
harmed as a result of its presence. As a result, farmers place a high value on weed control …

Algorithm of weed detection in crops by computational vision

AJI Tejeda, RC Castro - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
This research has been based on the use of precision agriculture tools for the management
of weeds in crops. It has focused on the creation of an image-processing algorithm to detect …

Deep learning applications in agriculture: A short review

L Santos, FN Santos, PM Oliveira, P Shinde - Robot 2019: Fourth Iberian …, 2020 - Springer
Deep learning (DL) incorporates a modern technique for image processing and big data
analysis with large potential. Deep learning is a recent tool in the agricultural domain, being …

Application of Convolutional Neural Networks in Weed Detection and Identification: A Systematic Review

OL García-Navarrete, A Correa-Guimaraes… - Agriculture, 2024 - mdpi.com
Weeds are unwanted and invasive plants that proliferate and compete for resources such as
space, water, nutrients, and sunlight, affecting the quality and productivity of the desired …