Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Plant disease detection and classification by deep learning
Plant diseases affect the growth of their respective species, therefore their early identification
is very important. Many Machine Learning (ML) models have been employed for the …
is very important. Many Machine Learning (ML) models have been employed for the …
On using artificial intelligence and the internet of things for crop disease detection: A contemporary survey
The agricultural sector remains a key contributor to the Moroccan economy, representing
about 15% of gross domestic product (GDP). Disease attacks are constant threats to …
about 15% of gross domestic product (GDP). Disease attacks are constant threats to …
FieldPlant: A dataset of field plant images for plant disease detection and classification with deep learning
E Moupojou, A Tagne, F Retraint, A Tadonkemwa… - IEEE …, 2023 - ieeexplore.ieee.org
The Food and Agriculture Organization of the United Nations suggests increasing the food
supply by 70% to feed the world population by 2050, although approximately one third of all …
supply by 70% to feed the world population by 2050, although approximately one third of all …
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 …
Enhancing sugarcane disease classification with ensemble deep learning: A comparative study with transfer learning techniques
Deep learning practices in the agriculture sector can address many challenges faced by the
farmers such as disease detection, yield estimation, soil profile estimation, etc. In this paper …
farmers such as disease detection, yield estimation, soil profile estimation, etc. In this paper …
Crop-saving with AI: latest trends in deep learning techniques for plant pathology
Plant diseases pose a major threat to agricultural production and the food supply chain, as
they expose plants to potentially disruptive pathogens that can affect the lives of those who …
they expose plants to potentially disruptive pathogens that can affect the lives of those who …
Harnessing the power of diffusion models for plant disease image augmentation
Introduction The challenges associated with data availability, class imbalance, and the need
for data augmentation are well-recognized in the field of plant disease detection. The …
for data augmentation are well-recognized in the field of plant disease detection. The …
Deep learning and content-based filtering techniques for improving plant disease identification and treatment recommendations: A comprehensive review
The importance of identifying plant diseases has risen recently due to the adverse effect they
have on agricultutal production. Plant diseases have been a big concern in agriculture, as …
have on agricultutal production. Plant diseases have been a big concern in agriculture, as …
Survey on crop pest detection using deep learning and machine learning approaches
M Chithambarathanu, MK Jeyakumar - Multimedia Tools and Applications, 2023 - Springer
The most important elements in the realm of commercial food standards are effective pest
management and control. Crop pests can make a huge impact on crop quality and …
management and control. Crop pests can make a huge impact on crop quality and …
A novel plant disease diagnosis framework by integrating semi-supervised and ensemble learning
Plant disease diagnosis is one of the latest critical research areas of sustainable agriculture.
The evolution of computer vision-based systems in order to identify, classify and localize …
The evolution of computer vision-based systems in order to identify, classify and localize …