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 …

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 …

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 …

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 …

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 Image Processing Approach for Weed Detection Using Deep Convolutional Neural Network

Y Aparna, N Bhaskar, K Srujan Raju, G Divya… - … Conference on Soft …, 2023 - Springer
According to weeds increased competition with crops, they have been given responsible for
45% of crop losses in the agricultural industry. This percentage can be decreased with an …

Weed detection in fields using convolutional neural network based on deep learning

A Taherihajivand, K Shirini… - Agricultural …, 2024 - agrieng.scu.ac.ir
Introduction In many countries, on average, more than 50% of people's food comes from
grains, and nearly 70% of the cultivated area of one billion hectares of the world is dedicated …

Design and evaluation of a deep CNN algorithm for detecting farm weeds

B Pattanaik, A Malibari… - International …, 2023 - inderscienceonline.com
Weeds are unwanted plants that grow with crops and usually removed by spraying
herbicides or by manual labour. Herbicides being sprayed mostly do not reach their target …

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 …

Weed identification in maize, sunflower, and potatoes with the aid of convolutional neural networks

GG Peteinatos, P Reichel, J Karouta, D Andújar… - Remote Sensing, 2020 - mdpi.com
The increasing public concern about food security and the stricter rules applied worldwide
concerning herbicide use in the agri-food chain, reduce consumer acceptance of chemical …