[HTML][HTML] The Application of Deep Learning in the Whole Potato Production Chain: A Comprehensive Review
The potato is a key crop in addressing global hunger, and deep learning is at the core of
smart agriculture. Applying deep learning (eg, YOLO series, ResNet, CNN, LSTM, etc.) in …
smart agriculture. Applying deep learning (eg, YOLO series, ResNet, CNN, LSTM, etc.) in …
High-throughput field crop phenotyping: current status and challenges
S Ninomiya - Breeding Science, 2022 - jstage.jst.go.jp
In contrast to the rapid advances made in plant genotyping, plant phenotyping is considered
a bottleneck in plant science. This has promoted high-throughput plant phenotyping (HTP) …
a bottleneck in plant science. This has promoted high-throughput plant phenotyping (HTP) …
A multiscale point-supervised network for counting maize tassels in the wild
Accurate counting of maize tassels is essential for monitoring crop growth and estimating
crop yield. Recently, deep-learning-based object detection methods have been used for this …
crop yield. Recently, deep-learning-based object detection methods have been used for this …
Mustard Downy Mildew Disease Severity Detection using Deep Learning Model
Plant crop disease detection is becoming a more active topic of research as the requirement
for these systems and approaches grows, as crop diseases have become a prevalent aspect …
for these systems and approaches grows, as crop diseases have become a prevalent aspect …
[HTML][HTML] PLDPNet: End-to-end hybrid deep learning framework for potato leaf disease prediction
Agricultural productivity plays a vital role in global economic development and growth. When
crops are affected by diseases, it adversely impacts a nation's economic resources and …
crops are affected by diseases, it adversely impacts a nation's economic resources and …
Automated recognition of optical image based potato leaf blight diseases using deep learning
Abstract The Potato crop (Solanum tuberosum L.) is one of the most important vegetable
food crop grown globally. The yield of potato crop is greatly hampered both in quality and …
food crop grown globally. The yield of potato crop is greatly hampered both in quality and …
A deep features extraction model based on the transfer learning model and vision transformer “tlmvit” for plant disease classification
A Tabbakh, SS Barpanda - IEEE Access, 2023 - ieeexplore.ieee.org
This paper proposes a novel approach for extracting deep features and classifying diseased
plant leaves. The agriculture industry is negatively impacted by plant diseases causing crop …
plant leaves. The agriculture industry is negatively impacted by plant diseases causing crop …
An effective image-based tomato leaf disease segmentation method using MC-UNet
Y Deng, H Xi, G Zhou, A Chen, Y Wang, L Li… - Plant Phenomics, 2023 - spj.science.org
Tomato disease control is an urgent requirement in the field of intellectual agriculture, and
one of the keys to it is quantitative identification and precise segmentation of tomato leaf …
one of the keys to it is quantitative identification and precise segmentation of tomato leaf …
[HTML][HTML] CAM-YOLO: tomato detection and classification based on improved YOLOv5 using combining attention mechanism
Background One of the key elements in maintaining the consistent marketing of tomato fruit
is tomato quality. Since ripeness is the most important factor for tomato quality in the …
is tomato quality. Since ripeness is the most important factor for tomato quality in the …
Potato blight: deep learning model for binary and multi-classification
V Kukreja, A Baliyan, V Salonki… - 2021 8th International …, 2021 - ieeexplore.ieee.org
Detection of plant crop diseases has become an active field of research day by day due to
increasing the demand for such systems and techniques as crop diseases are now become …
increasing the demand for such systems and techniques as crop diseases are now become …