Leaf disease detection using machine learning and deep learning: Review and challenges
Identification of leaf disorder plays an important role in the economic prosperity of any
country. Many parts of a plant can be infected by a virus, fungal, bacteria, and other …
country. Many parts of a plant can be infected by a virus, fungal, bacteria, and other …
Intelligent plant disease diagnosis using convolutional neural network: a review
In recent times use of different technologies for intelligent crop production is growing. To
increase the production of crops, diagnosing a plant disease is very important. Plant …
increase the production of crops, diagnosing a plant disease is very important. Plant …
[HTML][HTML] Deep learning precision farming: grapes and mango leaf disease detection by transfer learning
US Rao, R Swathi, V Sanjana, L Arpitha… - Global transitions …, 2021 - Elsevier
In India, half the population depends on agriculture for a livelihood. Microbial diseases are a
significant threat to food security, but their rapid identification remains difficult due to limited …
significant threat to food security, but their rapid identification remains difficult due to limited …
Mango leaf disease identification and classification using a CNN architecture optimized by crossover-based levy flight distribution algorithm
M Prabu, BJ Chelliah - Neural Computing and Applications, 2022 - Springer
Mango leaf diseases have a negative impact on mango quality and yield. It is difficult to
make an accurate diagnosis of mango leaf disease diagnosis with the naked eye. A lot of …
make an accurate diagnosis of mango leaf disease diagnosis with the naked eye. A lot of …
ESDNN: A novel ensembled stack deep neural network for mango leaf disease classification and detection
The mango crop production and quality are affected by several factors. Plant disease is one
of the prime factors that impact crop yield. The disease impacts all parts of plants such as …
of the prime factors that impact crop yield. The disease impacts all parts of plants such as …
[HTML][HTML] MangoLeafBD: A comprehensive image dataset to classify diseased and healthy mango leaves
Agriculture is one of the few remaining sectors that is yet to receive proper attention from the
machine learning community. The importance of datasets in the machine learning discipline …
machine learning community. The importance of datasets in the machine learning discipline …
Systematic study on deep learning-based plant disease detection or classification
Plant diseases impact extensively on agricultural production growth. It results in a price hike
on food grains and vegetables. To reduce economic loss and to predict yield loss, early …
on food grains and vegetables. To reduce economic loss and to predict yield loss, early …
Early detection and identification of grape diseases using convolutional neural networks
RKM Math, NV Dharwadkar - Journal of Plant Diseases and Protection, 2022 - Springer
Crop protection aims to develop an agriculture system that is resilient to common agricultural
threats like diseases, pests, and weeds that result in sub-optimal growth of crops in terms of …
threats like diseases, pests, and weeds that result in sub-optimal growth of crops in terms of …
Enhancing Mango Fruit Disease Severity Assessment with CNN and SVM-Based Classification
The mango leaf powdery mildew disease poses a serious threat to mango production
society globally by significantly lowering yield and quality. For timely intervention and …
society globally by significantly lowering yield and quality. For timely intervention and …
Advancing common bean (Phaseolus vulgaris L.) disease detection with YOLO driven deep learning to enhance agricultural AI
D Gomez, MG Selvaraj, J Casas, K Mathiyazhagan… - Scientific Reports, 2024 - nature.com
Common beans (CB), a vital source for high protein content, plays a crucial role in ensuring
both nutrition and economic stability in diverse communities, particularly in Africa and Latin …
both nutrition and economic stability in diverse communities, particularly in Africa and Latin …