An automated detection and classification of citrus plant diseases using image processing techniques: A review
The citrus plants such as lemons, mandarins, oranges, tangerines, grapefruits, and limes are
commonly grown fruits all over the world. The citrus producing companies create a large …
commonly grown fruits all over the world. The citrus producing companies create a large …
[HTML][HTML] A review of imaging techniques for plant disease detection
Agriculture is the basis of every economy worldwide. Crop production is one of the major
factors affecting domestic market condition in any country. Agricultural production is also a …
factors affecting domestic market condition in any country. Agricultural production is also a …
[HTML][HTML] Sunflower leaf diseases detection using image segmentation based on particle swarm optimization
V Singh - Artificial Intelligence in Agriculture, 2019 - Elsevier
Sun flower (Helianthus annuus L.) is one of the important oil seed crops and potentially fit in
agricultural system and oil production sector of India. Sunflower crop gets damaged by the …
agricultural system and oil production sector of India. Sunflower crop gets damaged by the …
Development of automated hybrid intelligent system for herbs plant classification and early herbs plant disease detection
MS Mustafa, Z Husin, WK Tan, MF Mavi… - Neural Computing and …, 2020 - Springer
Plants such as herbs are widely used in the medical and cosmetic industry. Recognizing a
species and detecting an early disease of a plant are quite challenging and difficult to …
species and detecting an early disease of a plant are quite challenging and difficult to …
Particle Swarm Optimization based incremental classifier design for rice disease prediction
S Sengupta, AK Das - Computers and Electronics in Agriculture, 2017 - Elsevier
Increase of huge amount of data in every application demands an incremental learning
technique for data analysis. One of such data analysis task in dynamic environment is to …
technique for data analysis. One of such data analysis task in dynamic environment is to …
[PDF][PDF] Automated vision-based diagnosis of banana bacterial wilt disease and black sigatoka disease
Machine learning has been applied in agriculture in various areas including crop disease
detection and image processing systems have been developed for some crops. These crops …
detection and image processing systems have been developed for some crops. These crops …
Support vector machine classifier based detection of fungal rust disease in Pea Plant (Pisam sativam)
The present study is based on the image processing techniques to identify and classify
fungal rust disease of Pea. Rust disease is caused by Uromyces fabae (Pers.) de Bary in the …
fungal rust disease of Pea. Rust disease is caused by Uromyces fabae (Pers.) de Bary in the …
Remotely sensed crop disease monitoring by machine learning algorithms: A review
Crop pests and diseases are treated as one of the main factors affecting food production and
security. An accurate detection and corresponding precision management to reduce the …
security. An accurate detection and corresponding precision management to reduce the …
Automated image analysis for quantification of reactive oxygen species in plant leaves
J Sekulska-Nalewajko, J Gocławski… - Methods, 2016 - Elsevier
The paper presents an image processing method for the quantitative assessment of ROS
accumulation areas in leaves stained with DAB or NBT for H 2 O 2 and O 2 radical dot …
accumulation areas in leaves stained with DAB or NBT for H 2 O 2 and O 2 radical dot …
Recent advances in image processing techniques for automated harvesting purposes: A review
Image processing has been proved to be an effective tool for analysis in various human
activity areas, namely, agricultural applications. Interpreting a digital color image of fruit …
activity areas, namely, agricultural applications. Interpreting a digital color image of fruit …