Monitoring plant diseases and pests through remote sensing technology: A review
Plant diseases and pests endanger agriculture and forestry significantly around the world.
The implementation of non-contact, highly-efficient, and affordable methods for detecting …
The implementation of non-contact, highly-efficient, and affordable methods for detecting …
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 …
Automatic identification and monitoring of plant diseases using unmanned aerial vehicles: A review
K Neupane, F Baysal-Gurel - Remote Sensing, 2021 - mdpi.com
Disease diagnosis is one of the major tasks for increasing food production in agriculture.
Although precision agriculture (PA) takes less time and provides a more precise application …
Although precision agriculture (PA) takes less time and provides a more precise application …
Deep diagnosis: A real-time apple leaf disease detection system based on deep learning
Background and objective Diseases and pests are one of the major reasons for low
productivity of apples which in turn results in huge economic loss to the apple industry every …
productivity of apples which in turn results in huge economic loss to the apple industry every …
Deep learning for tomato diseases: classification and symptoms visualization
M Brahimi, K Boukhalfa… - Applied Artificial …, 2017 - Taylor & Francis
Several studies have invested in machine learning classifiers to protect plants from diseases
by processing leaf images. Most of the proposed classifiers are trained and evaluated with …
by processing leaf images. Most of the proposed classifiers are trained and evaluated with …
Using deep learning for image-based plant disease detection
Crop diseases are a major threat to food security, but their rapid identification remains
difficult in many parts of the world due to the lack of the necessary infrastructure. The …
difficult in many parts of the world due to the lack of the necessary infrastructure. The …
DCGAN-based data augmentation for tomato leaf disease identification
Q Wu, Y Chen, J Meng - IEEE access, 2020 - ieeexplore.ieee.org
Tomato leaf disease seriously affects the yield of tomato. It is extremely vital for agricultural
economy to identify agricultural diseases. The traditional data augmentation methods, such …
economy to identify agricultural diseases. The traditional data augmentation methods, such …
A review of advanced technologies and development for hyperspectral-based plant disease detection in the past three decades
The detection, quantification, diagnosis, and identification of plant diseases is particularly
crucial for precision agriculture. Recently, traditional visual assessment technology has not …
crucial for precision agriculture. Recently, traditional visual assessment technology has not …
Tomato leaf disease identification by restructured deep residual dense network
C Zhou, S Zhou, J Xing, J Song - IEEE Access, 2021 - ieeexplore.ieee.org
As COVID-19 spread worldwide, many major grain-producing countries have adopted
measures to restrict their grain exports; food security has aroused great concern from …
measures to restrict their grain exports; food security has aroused great concern from …
Machine learning for detection and prediction of crop diseases and pests: A comprehensive survey
T Domingues, T Brandão, JC Ferreira - Agriculture, 2022 - mdpi.com
Considering the population growth rate of recent years, a doubling of the current worldwide
crop productivity is expected to be needed by 2050. Pests and diseases are a major …
crop productivity is expected to be needed by 2050. Pests and diseases are a major …