Computer vision and artificial intelligence in precision agriculture for grain crops: A systematic review

DI Patrício, R Rieder - Computers and electronics in agriculture, 2018 - Elsevier
Grain production plays an important role in the global economy. In this sense, the demand
for efficient and safe methods of food production is increasing. Information Technology is …

Artificial intelligence: Implications for the agri-food sector

A Taneja, G Nair, M Joshi, S Sharma, S Sharma… - Agronomy, 2023 - mdpi.com
Artificial intelligence (AI) involves the development of algorithms and computational models
that enable machines to process and analyze large amounts of data, identify patterns and …

Varietal classification of rice seeds using RGB and hyperspectral images

SD Fabiyi, H Vu, C Tachtatzis, P Murray, D Harle… - IEEE …, 2020 - ieeexplore.ieee.org
Inspection of rice seeds is a crucial task for plant nurseries and farmers since it ensures
seed quality when growing seedlings. Conventionally, this process is performed by expert …

An analog circuit fault diagnosis approach based on improved wavelet transform and MKELM

C Zhang, Y He, T Yang, B Zhang, J Wu - Circuits, Systems, and Signal …, 2022 - Springer
Correct diagnosing analog circuit fault is beneficial to the circuit's health management, and
its core challenge is extracting essential features from the circuit's output signals. Wavelet …

[HTML][HTML] Computer vision based food grain classification: A comprehensive survey

HO Velesaca, PL Suárez, R Mira, AD Sappa - Computers and Electronics in …, 2021 - Elsevier
This manuscript presents a comprehensive survey on recent computer vision based food
grain classification techniques. It includes state-of-the-art approaches intended for different …

Recent applications of multivariate data analysis methods in the authentication of rice and the most analyzed parameters: A review

C Maione, RM Barbosa - Critical reviews in food science and …, 2019 - Taylor & Francis
Rice is one of the most important staple foods around the world. Authentication of rice is one
of the most addressed concerns in the present literature, which includes recognition of its …

Machine learning methods for speech emotion recognition on telecommunication systems

A Osipov, E Pleshakova, Y Liu, S Gataullin - Journal of Computer Virology …, 2024 - Springer
The manuscript is devoted to the study of human behavior in stressful situations using
machine learning methods, which depends on the psychotype, socialization and a host of …

[HTML][HTML] Computer-assisted real-time rice variety learning using deep learning network

PR Jeyaraj, SP Asokan, ERS Nadar - Rice Science, 2022 - Elsevier
Due to the inconsistency of rice variety, agricultural industry faces an important challenge of
rice grading and classification by the traditional grading system. The existing grading system …

Non-destructive image processing based system for assessment of rice quality and defects for classification according to inferred commercial value

S Mittal, MK Dutta, A Issac - Measurement, 2019 - Elsevier
Rice is among the three most consumed grains in the world, which makes its quality
assessment an important task. Conventional methods based on manual inspection need …

Weedy rice classification using image processing and a machine learning approach

R Ruslan, S Khairunniza-Bejo, M Jahari, MF Ibrahim - Agriculture, 2022 - mdpi.com
Weedy rice infestation has become a major problem in all rice-growing countries, especially
in Malaysia. Challenges remain in finding a rapid technique to identify the weedy rice seeds …