Applications of deep learning in precision weed management: A review
Deep Learning (DL) has been described as one of the key subfields of Artificial Intelligence
(AI) that is transforming weed detection for site-specific weed management (SSWM). In the …
(AI) that is transforming weed detection for site-specific weed management (SSWM). In the …
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 …
Early detection and classification of tomato leaf disease using high-performance deep neural network
Tomato is one of the most essential and consumable crops in the world. Tomatoes differ in
quantity depending on how they are fertilized. Leaf disease is the primary factor impacting …
quantity depending on how they are fertilized. Leaf disease is the primary factor impacting …
Deep learning-based segmentation and classification of leaf images for detection of tomato plant disease
Plants contribute significantly to the global food supply. Various Plant diseases can result in
production losses, which can be avoided by maintaining vigilance. However, manually …
production losses, which can be avoided by maintaining vigilance. However, manually …
Smart agriculture applications using deep learning technologies: A survey
Agriculture is considered an important field with a significant economic impact in several
countries. Due to the substantial population growth, meeting people's dietary needs has …
countries. Due to the substantial population growth, meeting people's dietary needs has …
Tomato leaf disease diagnosis based on improved convolution neural network by attention module
S Zhao, Y Peng, J Liu, S Wu - Agriculture, 2021 - mdpi.com
Crop disease diagnosis is of great significance to crop yield and agricultural production.
Deep learning methods have become the main research direction to solve the diagnosis of …
Deep learning methods have become the main research direction to solve the diagnosis of …
Advanced deep learning techniques for early disease prediction in cauliflower plants
Agriculture plays a pivotal role in the economies of develo** countries by providing
livelihoods, sustenance, and employment opportunities in rural areas. However, crop …
livelihoods, sustenance, and employment opportunities in rural areas. However, crop …
Artificial intelligence-based drone system for multiclass plant disease detection using an improved efficient convolutional neural network
The role of agricultural development is very important in the economy of a country. However,
the occurrence of several plant diseases is a major hindrance to the growth rate and quality …
the occurrence of several plant diseases is a major hindrance to the growth rate and quality …
A novel framework for image-based plant disease detection using hybrid deep learning approach
The agriculture sector contributes significantly to the economic growth of a country.
However, plant diseases are one of the leading causes of crop destruction that decreases …
However, plant diseases are one of the leading causes of crop destruction that decreases …
Yolo-JD: A Deep Learning Network for jute diseases and pests detection from images
Recently, disease prevention in jute plants has become an urgent topic as a result of the
growing demand for finer quality fiber. This research presents a deep learning network …
growing demand for finer quality fiber. This research presents a deep learning network …