Artificial-intelligence and sensing techniques for the management of insect pests and diseases in cotton: A systematic literature review

R Toscano-Miranda, M Toro, J Aguilar… - The Journal of …, 2022 - cambridge.org
Integrated pest management (IPM) seeks to minimize the environmental impact of pesticide
application, and reduce risks to human and animal health. IPM is based on two important …

[HTML][HTML] Application of smartphone-image processing and transfer learning for rice disease and nutrient deficiency detection

A Nayak, S Chakraborty, DK Swain - Smart Agricultural Technology, 2023 - Elsevier
The earliest detection of plant disease is the primary concern of the farming community. The
availability of advanced digital cameras and smartphones with improved image acquisition …

[HTML][HTML] A deep learning model for cotton disease prediction using fine-tuning with smart web application in agriculture

MM Islam, MA Talukder, MRA Sarker, MA Uddin… - Intelligent Systems with …, 2023 - Elsevier
Cotton is known as 'white gold'in the agricultural industry. Agriculture is the primary source of
economic income in Bangladesh and the country's economy is heavily dependent on …

Exploring the effect of balanced and imbalanced multi-class distribution data and sampling techniques on fruit-tree crop classification using different machine learning …

Y Chabalala, E Adam, KA Ali - Geomatics, 2023 - mdpi.com
Fruit-tree crops generate food and income for local households and contribute to South
Africa's gross domestic product. Timely and accurate phenotyping of fruit-tree crops is …

Explainable Neural Network for Classification of Cotton Leaf Diseases

J Amin, MA Anjum, M Sharif, S Kadry, J Kim - Agriculture, 2022 - mdpi.com
Every nation's development depends on agriculture. The term “cash crops” refers to cotton
and other important crops. Most pathogens that significantly harm crops also impact cotton …

Palm oil maturity classification using K-nearest neighbors based on RGB and L* a* b color extraction

S Saifullah, DB Prasetyo, R Dreżewski… - Procedia Computer …, 2023 - Elsevier
This study aims to classify the maturity level of oil palm using the K-Nearest Neighbors
(KNN) method based on the extraction of RGB and L* a* b color features. This classification …

Application of Visual Communication in Image Enhancement and Optimization of Human–Computer Interface

K Ma, S Lee, H Chen - Mobile Networks and Applications, 2023 - Springer
The visual plane of human–computer interaction has a great influence on the perception of
color images. The author proposes the use of visual communication in the development and …

Image classification of ornamental plants leaf using machine learning algorithms

A Ojha, V Kumar - 2022 4th International Conference on …, 2022 - ieeexplore.ieee.org
Ornamental Plant image recognition and distinguishing have become a versatile focus in
botanical taxonomy and computer science. A decorative plant must be recognized by one or …

A methodology of customized dataset for cotton disease detection using deep learning algorithms

MS Tahir, A Yaqoob, H Hamid… - … Conference on Frontiers …, 2022 - ieeexplore.ieee.org
Agribusiness occupies the lion's share of Pakistan's land. It also supports Pakistan's
financial situation. Approximately 62% of Pakistan's population lives in rural regions and …

TRiP: a transfer learning based rice disease phenotype recognition platform using SENet and microservices

P Yuan, Y Xia, Y Tian, H Xu - Frontiers in Plant Science, 2024 - frontiersin.org
Classification of rice disease is one significant research topics in rice phenotyping.
Recognition of rice diseases such as Bacterialblight, Blast, Brownspot, Leaf smut, and …