[HTML][HTML] Progress in the application of cnn-based image classification and recognition in whole crop growth cycles
The categorization and identification of agricultural imagery constitute the fundamental
requisites of contemporary farming practices. Among the various methods employed for …
requisites of contemporary farming practices. Among the various methods employed for …
[HTML][HTML] Deep Learning-Based Weed Detection Using UAV Images: A Comparative Study
Semantic segmentation has been widely used in precision agriculture, such as weed
detection, which is pivotal to increasing crop yields. Various well-established and swiftly …
detection, which is pivotal to increasing crop yields. Various well-established and swiftly …
[HTML][HTML] Research on improved YOLOx weed detection based on lightweight attention module
H Zhu, Y Zhang, D Mu, L Bai, X Wu, H Zhuang, H Li - Crop Protection, 2024 - Elsevier
Accurate weed detection is essential for precise weed control in farmland, and machine
vision serves as an effective method for identifying and targeting these unwanted plants. An …
vision serves as an effective method for identifying and targeting these unwanted plants. An …
[HTML][HTML] A comprehensive survey on weed and crop classification using machine learning and deep learning
FD Adhinata, R Sumiharto - Artificial Intelligence in Agriculture, 2024 - Elsevier
Abstract Machine learning and deep learning are subsets of Artificial Intelligence that have
revolutionized object detection and classification in images or videos. This technology plays …
revolutionized object detection and classification in images or videos. This technology plays …
Hybrid cnn model for classification of rumex obtusifolius in grassland
Rumex obtusifolius Linnaeus (R. obtu. L.) is one of the vital broad-leaved weeds in
grassland that needs removal. It affects dairy products and reduces their quality. Hand …
grassland that needs removal. It affects dairy products and reduces their quality. Hand …
A comparative study of resnet50, efficientnetb7, inceptionv3, vgg16 models in crop and weed classification
N Mishra, I Jahan, MR Nadeem… - 2023 4th International …, 2023 - ieeexplore.ieee.org
With the growing technology and the use of the same in the field of farming, it is becoming
imperative that technology be used in the classification of crops and weeds as it is a growing …
imperative that technology be used in the classification of crops and weeds as it is a growing …
[PDF][PDF] Automatic diagnosis of rice leaves diseases using hybrid deep learning model
Rice demand is increasing with the rise in population worldwide, but this crop production is
negatively affected due to different fatal diseases. Reported rice disease diagnosis models …
negatively affected due to different fatal diseases. Reported rice disease diagnosis models …
Adaptive Non-Maximum Suppression for improving performance of Rumex detection
A crucial post-processing stage in numerous object detection methods is Non-Maximum
Suppression (NMS). The key idea of this technique is to rank the detected bounding boxes …
Suppression (NMS). The key idea of this technique is to rank the detected bounding boxes …
Sugar beet farming goes high-tech: a method for automated weed detection using machine learning and deep learning in precision agriculture
The main objective of this study is to develop a method for the automated detection and
classification of weeds and sugar beets. Precision agriculture is an essential area of …
classification of weeds and sugar beets. Precision agriculture is an essential area of …
Multilayer feature fusion and attention-based network for crops and weeds segmentation
Distinguishing weeds from crops is a critical challenge in agriculture, with the existing
agriculture semantic segmentation networks simply combining low-level with high-level …
agriculture semantic segmentation networks simply combining low-level with high-level …