Artificial-intelligence and sensing techniques for the management of insect pests and diseases in cotton: A systematic literature review
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 …
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
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 …
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
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 …
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 …
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 …
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
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 …
(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 …
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 …
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 …
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 …
Recognition of rice diseases such as Bacterialblight, Blast, Brownspot, Leaf smut, and …