[HTML][HTML] Deep learning based computer vision approaches for smart agricultural applications

VG Dhanya, A Subeesh, NL Kushwaha… - Artificial Intelligence in …, 2022 - Elsevier
The agriculture industry is undergoing a rapid digital transformation and is growing powerful
by the pillars of cutting-edge approaches like artificial intelligence and allied technologies …

A review of deep learning techniques used in agriculture

I Attri, LK Awasthi, TP Sharma, P Rathee - Ecological Informatics, 2023 - Elsevier
Deep learning (DL) is a robust data-analysis and image-processing technique that has
shown great promise in the agricultural sector. In this study, 129 papers that are based on …

Intelligent detection of citrus fruit pests using machine vision system and convolutional neural network through transfer learning technique

R Hadipour-Rokni, EA Asli-Ardeh… - Computers in Biology …, 2023 - Elsevier
Plant pests and diseases play a significant role in reducing the quality of agricultural
products. As one of the most important plant pathogens, pests like Mediterranean fruit fly …

Grading and fraud detection of saffron via learning-to-augment incorporated Inception-v4 CNN

M Momeny, AA Neshat, A Jahanbakhshi, M Mahmoudi… - Food control, 2023 - Elsevier
Saffron is a well-known product in the food industry. It is one of the spices that are
sometimes adulterated with the sole motive of gaining more economic profit. Today …

[HTML][HTML] An AI based approach for medicinal plant identification using deep CNN based on global average pooling

R Azadnia, MM Al-Amidi, H Mohammadi, MA Cifci… - Agronomy, 2022 - mdpi.com
Medicinal plants have always been studied and considered due to their high importance for
preserving human health. However, identifying medicinal plants is very time-consuming …

[HTML][HTML] Intelligent detection and waste control of hawthorn fruit based on ripening level using machine vision system and deep learning techniques

R Azadnia, S Fouladi, A Jahanbakhshi - Results in Engineering, 2023 - Elsevier
Increasing marketability and waste management of agricultural products require quality
assessment. Meanwhile, their marketability is largely affected by their shapes and overall …

Evaluation of hawthorns maturity level by developing an automated machine learning-based algorithm

R Azadnia, K Kheiralipour - Ecological Informatics, 2022 - Elsevier
Marketability of agricultural products depends heavily on appearance attributes such as
color, size, and ripeness. Sorting plays an important role in increasing marketability by …

LAIU-Net: A learning-to-augment incorporated robust U-Net for depressed humans' tongue segmentation

M Marhamati, AAL Zadeh, MM Fard, MA Hussain… - Displays, 2023 - Elsevier
Computer-aided tongue diagnosis system requires segmentation of the tongue body. The
frequent movement of the tongue due to its natural flexibility often causes shape variability in …

Estimation of soil texture by fusion of near-infrared spectroscopy and image data based on convolutional neural network

MKV Ebrahimi, H Lee, J Won, S Kim, SS Park - Computers and Electronics …, 2023 - Elsevier
Soil texture is very important information for various agricultural, environmental, and
geological research areas, however, it has been difficult to obtain data through proximal …

Determination of Fv/Fm from Chlorophyll a Fluorescence without Dark Adaptation by an LSSVM Model

Q Xia, H Tang, L Fu, J Tan, G Govindjee, Y Guo - Plant Phenomics, 2023 - spj.science.org
Evaluation of photosynthetic quantum yield is important for analyzing the phenotype of
plants. Chlorophyll a fluorescence (ChlF) has been widely used to estimate plant …