A review on machine learning and deep learning image-based plant disease classification for industrial farming systems
Plants can be affected by various diseases. As such, the early detection of crop diseases
plays an essential role in the farming industry. However, such detection requires extensive …
plays an essential role in the farming industry. However, such detection requires extensive …
Meta deep learn leaf disease identification model for cotton crop
Agriculture is essential to the growth of every country. Cotton and other major crops fall into
the cash crops. Cotton is affected by most of the diseases that cause significant crop …
the cash crops. Cotton is affected by most of the diseases that cause significant crop …
A survey on deep learning-based identification of plant and crop diseases from UAV-based aerial images
The agricultural crop productivity can be affected and reduced due to many factors such as
weeds, pests, and diseases. Traditional methods that are based on terrestrial engines …
weeds, pests, and diseases. Traditional methods that are based on terrestrial engines …
[PDF][PDF] Deep Learning-Based Trees Disease Recognition and Classification Using Hyperspectral Data.
Crop diseases have a significant impact on plant growth and can lead to reduced yields.
Traditional methods of disease detection rely on the expertise of plant protection experts …
Traditional methods of disease detection rely on the expertise of plant protection experts …
Automatic detection of tomato diseases using deep transfer learning
Global food production is being strained by extreme weather conditions, fluctuating
temperatures, and geopolitics. Tomato is a staple agricultural product with tens of millions of …
temperatures, and geopolitics. Tomato is a staple agricultural product with tens of millions of …
“Tomato-Village”: a dataset for end-to-end tomato disease detection in a real-world environment
Tomato is one of the most extensively grown vegetables in any country, and their diseases
can significantly affect yield and quality. Accurate and early detection of tomato diseases is …
can significantly affect yield and quality. Accurate and early detection of tomato diseases is …
Enhancing Precision of Crop Farming towards Smart Cities: An Application of Artificial Intelligence
Water sustainability will be scarce in the coming decades because of global warming, an
alarming situation for irrigation systems. The key requirement for crop production is water …
alarming situation for irrigation systems. The key requirement for crop production is water …
Tomato disease object detection method combining prior knowledge attention mechanism and multiscale features
J Liu, X Wang - Frontiers in Plant Science, 2023 - frontiersin.org
To address the challenges of insufficient accuracy in detecting tomato disease object
detection caused by dense target distributions, large-scale variations, and poor feature …
detection caused by dense target distributions, large-scale variations, and poor feature …
A lightweight deep learning-based model for tomato leaf disease classification
Tomato leaf diseases significantly impact crop production, necessitating early detection for
sustainable farming. Deep Learning (DL) has recently shown excellent results in identifying …
sustainable farming. Deep Learning (DL) has recently shown excellent results in identifying …
Tomato leaf disease classification using convolutional neural network model
Tomatoes and potatoes are the most commonly grown crops worldwide. The tomato
contains antioxidant properties to prevent the cells from radicals. It can also protect the …
contains antioxidant properties to prevent the cells from radicals. It can also protect the …