Current and future applications of statistical machine learning algorithms for agricultural machine vision systems

TU Rehman, MS Mahmud, YK Chang, J Jin… - … and electronics in …, 2019 - Elsevier
With being rapid increasing population in worldwide, the need for satisfactory level of crop
production with decreased amount of agricultural lands. Machine vision would ensure the …

Review of the state of the art of deep learning for plant diseases: A broad analysis and discussion

RI Hasan, SM Yusuf, L Alzubaidi - Plants, 2020 - mdpi.com
Deep learning (DL) represents the golden era in the machine learning (ML) domain, and it
has gradually become the leading approach in many fields. It is currently playing a vital role …

Plant disease detection in imbalanced datasets using efficient convolutional neural networks with stepwise transfer learning

M Ahmad, M Abdullah, H Moon, D Han - IEEE Access, 2021 - ieeexplore.ieee.org
Convolutional neural networks have demonstrated state-of-the-art performance in image
classification and various other computer vision tasks. Plant disease detection is an …

An extensive review on agricultural robots with a focus on their perception systems

A Thakur, S Venu, M Gurusamy - Computers and Electronics in Agriculture, 2023 - Elsevier
Agriculture represents an essential aspect of human existence, providing the sustenance
necessary for survival in the form of food and various other products. Additionally, it serves …

Systematic mapping study on remote sensing in agriculture

JA García-Berná, S Ouhbi, B Benmouna… - Applied Sciences, 2020 - mdpi.com
The area of remote sensing techniques in agriculture has reached a significant degree of
development and maturity, with numerous journals, conferences, and organizations …

ConvPlant-Net: A Convolutional Neural Network based Architecture for Leaf Disease Detection in Smart Agriculture

SD Deb, RK Jha, S Kumar - 2023 National Conference on …, 2023 - ieeexplore.ieee.org
Convolutional Neural Networks have demonstrated state-of-the-art performance in various
image classification and computer vision-related tasks. Plant disease detection is one of the …

Identifying the branch of kiwifruit based on unmanned aerial vehicle (Uav) images using deep learning method

Z Niu, J Deng, X Zhang, J Zhang, S Pan, H Mu - Sensors, 2021 - mdpi.com
It is important to obtain accurate information about kiwifruit vines to monitoring their
physiological states and undertake precise orchard operations. However, because vines are …

[PDF][PDF] Automated tomato leaf disease detection technique using deep learning

D MITRA, A GOYAL, S GUPTA, HS KANYAL… - Journal of Theoretical …, 2023 - jatit.org
Artificial intelligence is the most common and comprehensive common-sense cognitive
engine in the ecosphere. Essentially affluent are both the cloud SaaS business model and …

Study of disease identification in pomegranate using leaf detection technique

PB Wakhare, S Neduncheliyan… - … on Emerging Smart …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) and Artificial Intelligence (AI) powered by 5G has opened new doors
of technology and innovations in the field of agriculture. There is a vast scope of application …

[PDF][PDF] Reshaping of the Future Farming: From Industry 4.0 Toward Agriculture 4.0

B Ali, A Zakeri, A Llieva, O Iliev - American Journal of Applied …, 2023 - researchgate.net
Contemporary agriculture faces many challenges, most notably the large and continuous
increase in population numbers, which requires the greater provision of agricultural products …