Plant disease detection using computational intelligence and image processing

VK Vishnoi, K Kumar, B Kumar - Journal of Plant Diseases and Protection, 2021 - Springer
Agriculture is the most primary and indispensable source to furnish national income of
numerous countries including India. Diseases in plants/crops are the serious causes in …

Automatic identification of diseases in grains crops through computational approaches: A review

R Manavalan - Computers and Electronics in Agriculture, 2020 - Elsevier
Agricultural productivity significantly contributes to every country's economy. The grain
plants such as wheat, rice, corn (maize), barley, oats, rye, millet, and sorghum are commonly …

Plants disease identification and classification through leaf images: A survey

S Kaur, S Pandey, S Goel - Archives of Computational Methods in …, 2019 - Springer
The symptoms of plant diseases are evident in different parts of a plant; however leaves are
found to be the most commonly observed part for detecting an infection. Researchers have …

A comprehensive study of feature extraction techniques for plant leaf disease detection

VK Vishnoi, K Kumar, B Kumar - Multimedia Tools and Applications, 2022 - Springer
Agriculture has been the most primary source of the livelihood of man for thousands of
years. Even today, it provides subsistence to about 50% of the world population. Plant …

SLIC_SVM based leaf diseases saliency map extraction of tea plant

Y Sun, Z Jiang, L Zhang, W Dong, Y Rao - Computers and electronics in …, 2019 - Elsevier
For the purpose of improving the extraction of tea plant leaf disease saliency map under
complex backgrounds, a new algorithm combining SLIC (Simple Linear Iterative Cluster) …

DeepVeg: Deep learning model for segmentation of weed, canola, and canola flea beetle damage

M Das, A Bais - IEEE access, 2021 - ieeexplore.ieee.org
Farmers around the world face the challenge of growing more food for the increasing world
population. On top of that, external threats such as pests (weeds and insects) pose a threat …

Multi-granularity feature aggregation with self-attention and spatial reasoning for fine-grained crop disease classification

X Zuo, J Chu, J Shen, J Sun - Agriculture, 2022 - mdpi.com
Combining disease categories and crop species leads to complex intra-class and inter-class
differences. Significant intra-class difference and subtle inter-class difference pose a great …

[PDF][PDF] Image processing based detection of diseases and nutrient deficiencies in plants

AK Ghorai, S Mukhopadhyay, S Kundu… - SATSA …, 2021 - researchgate.net
Accurate identification of plant diseases caused by several pathogens likes fungi, bacteria
and viruses, etc. and disorders due to mineral deficiency at field level are a serious problem …

Detection of leaf disease using principal component analysis and linear support vector machine

E Dhinesh, A Jagan - 2019 11th International Conference on …, 2019 - ieeexplore.ieee.org
Agriculturalists find difficulties in classifying the diseases in leaves. In olden days, farmers
detected the leaf diseases by observing the leaf by its appearance which does not provide …

[PDF][PDF] 计算机视觉技术在植物病害识别上的研究进展

孙亮, 柯宇航, 刘辉, 胡义钰, 冯成天, 刘文波… - 热带生物 …, 2022 - pwnwords.com
随着农业和现代化信息技术的交互, 联结和碰撞, 农业逐渐趋于现代化, 智能化和数字化,
近年来运用计算机视觉技术对植物病害进行诊断得到广泛应用, 比传统方法更加迅捷, 精确 …