[HTML][HTML] DeepRice: A deep learning and deep feature based classification of Rice leaf disease subtypes
Rice stands as a crucial staple food globally, with its enduring sustainability hinging on the
prompt detection of rice leaf diseases. Hence, efficiently detecting diseases when they have …
prompt detection of rice leaf diseases. Hence, efficiently detecting diseases when they have …
Grey blight disease detection on tea leaves using improved deep convolutional neural network
We proposed a novel deep convolutional neural network (DCNN) using inverted residuals
and linear bottleneck layers for diagnosing grey blight disease on tea leaves. The proposed …
and linear bottleneck layers for diagnosing grey blight disease on tea leaves. The proposed …
[HTML][HTML] Classification of pumpkin disease by using a hybrid approach
Agricultural products are crucial for the long-term sustainability of develo** economies.
Agriculture is a vital sector for most develo** countries, including Ethiopia. The pumpkin …
Agriculture is a vital sector for most develo** countries, including Ethiopia. The pumpkin …
A deep learning approach for classification and segmentation of leafy vegetables and diseases
A Islam, SRS Raisa, NH Khan… - … Conference on Next …, 2023 - ieeexplore.ieee.org
Bangladesh's economy is heavily dependent on agriculture, making the region an
exceedingly crucial sector that requires great vigilance. In comparison to other vegetables …
exceedingly crucial sector that requires great vigilance. In comparison to other vegetables …
Plant disease identification using a novel time-effective CNN architecture
Due to the increase in human population, the need for food crops is also increasing day by
day. In each year, 10 to 30% agricultural yield is lost due to the attack of pests and various …
day. In each year, 10 to 30% agricultural yield is lost due to the attack of pests and various …
An effective deep learning based Idrcnn and Bdc-Lstm models for complex word identification and synonym generation
T Rajya Lakshmi, SR Vinta - International Journal of Information …, 2024 - Springer
Finding words in a document that the average reader could find challenging to understand is
usually the first step in identifying complex words in the text. After you've determined which …
usually the first step in identifying complex words in the text. After you've determined which …
Enhanced Leafy Vegetable Analysis: Image Classification and Disease Instance Segmentation Using Deep Learning Techniques
A Islam, SRS Raisa, NH Khan - Available at SSRN 4470131, 2023 - papers.ssrn.com
Bangladesh's economy is heavily dependent on agriculture, making the region an
exceedingly crucial sector that requires great vigilance. In comparison to other vegetables …
exceedingly crucial sector that requires great vigilance. In comparison to other vegetables …
Deep-millet: a deep learning model for pearl millet disease identification to envisage precision agriculture
Plants are integral to human sustenance, serving as fundamental sources of sustenance,
materials, and energy, crucial for economic prosperity. However, their productivity and yield …
materials, and energy, crucial for economic prosperity. However, their productivity and yield …
Plant leaf disease classification using Wide Residual Networks
H Alaeddine, M Jihene - Multimedia Tools and Applications, 2023 - Springer
Most plant diseases have clear symptoms that can be recognized and diagnosed with the
naked eye by an experienced plant pathologist. The process of diagnosing a disease with …
naked eye by an experienced plant pathologist. The process of diagnosing a disease with …
[HTML][HTML] Enhancing Paddy Leaf Disease Diagnosis-a Hybrid CNN Model using Simulated Thermal Imaging
Rice, as a staple crop globally, requires proactive and accurate disease detection to ensure
sustainable production. This study introduces a novel hybrid Deep Learning approach …
sustainable production. This study introduces a novel hybrid Deep Learning approach …