[PDF][PDF] An analysis on machine vision and image processing techniques for weed detection in agricultural crops

R Sohail, Q Nawaz, I Hamid, SMM Gilani, I Mumtaz… - Pak. J. Agri …, 2021 - academia.edu
The advancement in the field of precision agriculture has opened doors for site-specific
weed management. There is a growing need to control the amount of herbicide sprayed on …

Development of invasive plant recognition system based on deep learning

Z Yang, Z Fan, C Niu, P Li… - Journal of Advances in …, 2023 - archive.article4submit.com
A major ecological issue that has seriously harmed both human society and the environment
is the invasion of alien plants. To stop the invasion of alien plants, it is crucial to create an …

Development of Modified CNN Algorithm for Agriculture Product: A Research Review

D Sharma, N Agrawal - Jurnal Ilmiah Teknik Elektro …, 2022 - garuda.kemdikbud.go.id
Now a day, with the increase in world population, the demand for agricultural products is
also increased. Modern days electronic technologies combined with machine vision …

با کمک تصاویر تلفن هوشمند و یادگیری) Chilo suppressalis (تشخیص کرم ساقه خوار برنج

محمد فلاح, عبادت قنبری پرمهر - Journal of Agricultural …, 2023‎ - search.ebscohost.com
Introduction: Rice is one of the most important main food sources in Iran and the world. The
correct identification of the type of pest in the early stages of preventive action has a …

Aphids detection on lemons leaf image using convolutional neural networks

J Parraga-Alava, R Alcivar-Cevallos… - Systems and information …, 2021 - Springer
Ecuador has been recognized for the export of high-quality plant products for food. Plant
leaves disease detection is an important task for increasing the quality of the agricultural …

Machine Algorithm-Based Web Prototype for Crop Pest Detection

A Columba-Guanoluisa… - … Congress on Science …, 2021 - Springer
Agriculture is an essential activity because it provides food, raw materials, and employment.
This activity is affected by the emergence of pests at any stage of the crop life cycle. In turn, it …

Identification of Armyworm-Infected Leaves in Corn by Image Processing and Deep Learning

N Saadati, R Pourdarbani, S Sabzi… - Acta Technologica … - sciendo.com
Corn is rich in fibre, vitamins, and minerals, and it is a nutritious source of carbohydrates.
The area under corn cultivation is very large because, in addition to providing food for …

Model Development for Identifying Aromatic Herbs Using Object Detection Algorithm

SN Antunes, MT Okano, IA Nääs, WAC Lopes… - AgriEngineering, 2024 - mdpi.com
The rapid evolution of digital technology and the increasing integration of artificial
intelligence in agriculture have paved the way for groundbreaking solutions in plant …

Pests detection using artificial neural network and image processing: A review

V Kumar, V Laxmi - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
The Indian economy relies heavily on the cultivation of rice. As the global population grows,
so does the need for rice farming. To maximise rice crop growth, early detection of pests is …

Planning pesticides usage for herbal and animal pests based on intelligent classification system with image processing and neural networks

K Dimililer, YK Ever - ITM Web of Conferences, 2018 - itm-conferences.org
Pests are divided into two as herbal and animal pests in agriculture, and detection and use
of minimum pesticides are quite challenging task. Last three decades, researchers have …