Plant diseases and pests detection based on deep learning: a review
J Liu, X Wang - Plant Methods, 2021 - Springer
Plant diseases and pests are important factors determining the yield and quality of plants.
Plant diseases and pests identification can be carried out by means of digital image …
Plant diseases and pests identification can be carried out by means of digital image …
Review on convolutional neural network (CNN) applied to plant leaf disease classification
J Lu, L Tan, H Jiang - Agriculture, 2021 - mdpi.com
Crop production can be greatly reduced due to various diseases, which seriously endangers
food security. Thus, detecting plant diseases accurately is necessary and urgent. Traditional …
food security. Thus, detecting plant diseases accurately is necessary and urgent. Traditional …
A review of deep learning techniques used in agriculture
Deep learning (DL) is a robust data-analysis and image-processing technique that has
shown great promise in the agricultural sector. In this study, 129 papers that are based on …
shown great promise in the agricultural sector. In this study, 129 papers that are based on …
Deep feature based rice leaf disease identification using support vector machine
Features are the vital factor for image classification in the field of machine learning. The
advancement of deep convolutional neural network (CNN) shows the way for identification …
advancement of deep convolutional neural network (CNN) shows the way for identification …
A deep analysis of brain tumor detection from mr images using deep learning networks
Creating machines that behave and work in a way similar to humans is the objective of
artificial intelligence (AI). In addition to pattern recognition, planning, and problem-solving …
artificial intelligence (AI). In addition to pattern recognition, planning, and problem-solving …
[HTML][HTML] A new mobile application of agricultural pests recognition using deep learning in cloud computing system
ME Karar, F Alsunaydi, S Albusaymi… - Alexandria Engineering …, 2021 - Elsevier
Agricultural pests cause between 20 and 40 percent loss of global crop production every
year as reported by the Food and Agriculture Organization (FAO). Therefore, smart …
year as reported by the Food and Agriculture Organization (FAO). Therefore, smart …
Transfer learning in environmental remote sensing
Abstract Machine learning (ML) has proven to be a powerful tool for utilizing the rapidly
increasing amounts of remote sensing data for environmental monitoring. Yet ML models …
increasing amounts of remote sensing data for environmental monitoring. Yet ML models …
A novel deep learning method for detection and classification of plant diseases
The agricultural production rate plays a pivotal role in the economic development of a
country. However, plant diseases are the most significant impediment to the production and …
country. However, plant diseases are the most significant impediment to the production and …
Transfer learning-based deep ensemble neural network for plant leaf disease detection
S Vallabhajosyula, V Sistla, VKK Kolli - Journal of Plant Diseases and …, 2022 - Springer
Plant diseases are a vital risk to crop yield and early detection of plant diseases remains a
complex task for the farmers due to the similar appearance in color, shape, and texture. In …
complex task for the farmers due to the similar appearance in color, shape, and texture. In …
Do we really need deep CNN for plant diseases identification?
Timely identification of plant diseases plays crucial roles in the management and decision-
making to protect the agricultural yield and quality. In this research field, there have been so …
making to protect the agricultural yield and quality. In this research field, there have been so …