Weed identification technique in basil crops using computer vision

R Yauri Rodríguez, BJ Guzman Rojas… - 2023 - repositorio.utp.edu.pe
The promotion of organic and ecological production seeks the sustainable and competitive
growth of organic crops in countries like Peru. In this context, agro-exportation is …

[PDF][PDF] Machine Learning Model for Weed Detection in Agriculture Using Image Processing

DVM Cheruku Himabindu - academia.edu
The Agriculture is the about 70% of the population depends on agriculture. Agricultures
(Weeds) are among the main factors that could harm crop yields. With advances in …

Classification of Vegetative pests for cucumber plants using artificial neural networks

M Waleed, AS Abdullah… - 2020 3rd International …, 2020 - ieeexplore.ieee.org
One of the topics that occupies many articles is the improvement of medical diagnostic
processes, where many articles have begun to elicit algorithms to increase the efficiency of …

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 …

Pest Detection and Identification on Plants Using CNN Algorithm: A survey

A Kalaiarasi, N Kumareshan, R Kanmani… - 2023 International …, 2023 - ieeexplore.ieee.org
India is the largest agriculture production country. It ranks 2nd largest producer of rice and
wheat. Various crops are grown in various parts of the country. Agriculture contributes to …

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 …

Classification of weed seeds using image processing and pattern recognition methods

A Bagheri, Z Heydari - Iranian Journal of Weed Science, 2021 - ijws.areeo.ac.ir
In order to identify weed seeds by machine vision approach, two methods of artificial neural
network (ANN) and canonical discriminant analysis (CDA) were applied. The seeds of …

[PDF][PDF] Implementation paper for Weed Detection in Agricultural Crops

P Nikam, K Borage, S Lokhare, S More, PV Kanaje - 2022 - ijsret.com
When a plant is in a place where it shouldn't be, it is called as weed. Weeds are one of the
major problems faced by the farmers because they result in reduction of yield. There are few …

Color classification methods for perennial weed detection in cereal crops

MG Forero, S Herrera-Rivera, J Ávila-Navarro… - Progress in Pattern …, 2019 - Springer
Cirsium arvense is an invasive plant normally found in cold climates that affects cereal
crops. Therefore, its detection is important to improve crop production. A previous study …