Plant disease detection using computational intelligence and image processing
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 …
numerous countries including India. Diseases in plants/crops are the serious causes in …
Traffic management: Multi-scale vehicle detection in varying weather conditions using yolov4 and spatial pyramid pooling network
Detecting and counting on road vehicles is a key task in intelligent transport management
and surveillance systems. The applicability lies both in urban and highway traffic monitoring …
and surveillance systems. The applicability lies both in urban and highway traffic monitoring …
A novel framework for image-based plant disease detection using hybrid deep learning approach
The agriculture sector contributes significantly to the economic growth of a country.
However, plant diseases are one of the leading causes of crop destruction that decreases …
However, plant diseases are one of the leading causes of crop destruction that decreases …
Attention embedded lightweight network for maize disease recognition
Crop disease has a negative impact on food security. If diverse crop diseases are not
identified in time, they can spread and influence the quality, quantity, and production of …
identified in time, they can spread and influence the quality, quantity, and production of …
Identifying plant diseases using deep transfer learning and enhanced lightweight network
Plant diseases can cause significant reductions in both the quality and quantity of
agricultural products, and they have a disastrous impact on the safety of food production. In …
agricultural products, and they have a disastrous impact on the safety of food production. In …
Machine learning and deep learning for maize leaf disease classification: A review
Image classification of maize disease is an agriculture computer vision application. In
general, the application of computer vision uses two methods: machine learning and deep …
general, the application of computer vision uses two methods: machine learning and deep …
A comprehensive study of feature extraction techniques for plant leaf disease detection
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 …
years. Even today, it provides subsistence to about 50% of the world population. Plant …
DFCANet: A novel lightweight convolutional neural network model for corn disease identification
Y Chen, X Chen, J Lin, R Pan, T Cao, J Cai, D Yu… - Agriculture, 2022 - mdpi.com
The identification of corn leaf diseases in a real field environment faces several difficulties,
such as complex background disturbances, variations and irregularities in the lesion areas …
such as complex background disturbances, variations and irregularities in the lesion areas …
Plant leaf identification based on shape and convolutional features
H Wu, L Fang, Q Yu, J Yuan, C Yang - Expert Systems with Applications, 2023 - Elsevier
Plant leaf identification is an important and challenging issue in botany and image analysis.
This is because leaves of the same class exhibit very large differences, and leaves of …
This is because leaves of the same class exhibit very large differences, and leaves of …
Integrated analysis of machine learning and deep learning in chili pest and disease identification
NN Ahmad Loti, MR Mohd Noor… - Journal of the Science …, 2021 - Wiley Online Library
BACKGROUND Chili is one of the most important and high‐value vegetable crops
worldwide. However, pest and disease infections are among the main limiting factors in chili …
worldwide. However, pest and disease infections are among the main limiting factors in chili …