Sensing and Artificial Perception for Robots in Precision Forestry: A Survey
Artificial perception for robots operating in outdoor natural environments, including forest
scenarios, has been the object of a substantial amount of research for decades. Regardless …
scenarios, has been the object of a substantial amount of research for decades. Regardless …
Pre-trained deep neural network-based features selection supported machine learning for rice leaf disease classification
Rice is a staple food for roughly half of the world's population. Some farmers prefer rice
cultivation to other crops because rice can thrive in a wide range of environments. Several …
cultivation to other crops because rice can thrive in a wide range of environments. Several …
Computer vision based method for severity estimation of tea leaf blight in natural scene images
G Hu, M Wan, K Wei, R Ye - European Journal of Agronomy, 2023 - Elsevier
Tea leaf diseases seriously affect the yield and quality of tea. Early warning and severity
estimation of the diseases can be used to guide tea farmers to spray pesticide reasonably …
estimation of the diseases can be used to guide tea farmers to spray pesticide reasonably …
Self-supervised leaf segmentation under complex lighting conditions
As an essential prerequisite task in image-based plant phenotyping, leaf segmentation has
garnered increasing attention in recent years. While self-supervised learning is emerging as …
garnered increasing attention in recent years. While self-supervised learning is emerging as …
Assessing the impact of segmentation on wheat stripe rust disease classification using computer vision and deep learning
Wheat is a staple crop that is grown across the world due to its substantial contribution to
human nutrition. Its significance is evident as it provides almost 20% of calories and protein …
human nutrition. Its significance is evident as it provides almost 20% of calories and protein …
Transfer learning based tomato leaf disease detection for mobile applications
An estimated 15-25% of potential crop production in India is lost to pests, diseases and
weeds. Advanced technologies for the early detection of crop diseases are required to …
weeds. Advanced technologies for the early detection of crop diseases are required to …
Deep Learning Model for classifying and evaluating soybean leaf disease damage
Soybean (Glycine max (L.) Merr.) is a major source of oil and protein for human food and
animal feed; however, soybean crops face diverse factors causing damage, including …
animal feed; however, soybean crops face diverse factors causing damage, including …
Detecting and distinguishing wheat diseases using image processing and machine learning algorithms
North Dakota is a major wheat production state in the US Growers face a variety of disease
challenges (eg, tan spot and leaf rust) during the wheat production, which not only reduce …
challenges (eg, tan spot and leaf rust) during the wheat production, which not only reduce …
Plant leaf detection and counting in a greenhouse during day and nighttime using a Raspberry Pi NoIR camera
A Soetedjo, E Hendriarianti - Sensors, 2021 - mdpi.com
A non-destructive method using machine vision is an effective way to monitor plant growth.
However, due to the lighting changes and complicated backgrounds in outdoor …
However, due to the lighting changes and complicated backgrounds in outdoor …
A simple and efficient technique for leaf extraction in complex backgrounds of low resolution mobile photographed images
BR Pushpa, N Shobha Rani - Journal of Intelligent & Fuzzy …, 2022 - content.iospress.com
Low resolution mobile photographed images pose a complex set of research challenges as
compared to non-mobile captured images, which really is a significant issue these days. For …
compared to non-mobile captured images, which really is a significant issue these days. For …