Plant diseases and pests detection based on deep learning: a review
J Liu, X Wang - Plant Methods, 2021 - Springer
Plant diseases and pests are important factors determining the yield and quality of plants.
Plant diseases and pests identification can be carried out by means of digital image …
Plant diseases and pests identification can be carried out by means of digital image …
A review of deep learning techniques used in agriculture
Deep learning (DL) is a robust data-analysis and image-processing technique that has
shown great promise in the agricultural sector. In this study, 129 papers that are based on …
shown great promise in the agricultural sector. In this study, 129 papers that are based on …
The impact of adversarial attacks on federated learning: A survey
Federated learning (FL) has emerged as a powerful machine learning technique that
enables the development of models from decentralized data sources. However, the …
enables the development of models from decentralized data sources. However, the …
A fast accurate fine-grain object detection model based on YOLOv4 deep neural network
Early identification and prevention of various plant diseases is a key feature of precision
agriculture technology. This paper presents a high-performance real-time fine-grain object …
agriculture technology. This paper presents a high-performance real-time fine-grain object …
Review of weed detection methods based on computer vision
Z Wu, Y Chen, B Zhao, X Kang, Y Ding - Sensors, 2021 - mdpi.com
Weeds are one of the most important factors affecting agricultural production. The waste and
pollution of farmland ecological environment caused by full-coverage chemical herbicide …
pollution of farmland ecological environment caused by full-coverage chemical herbicide …
Tomato diseases and pests detection based on improved Yolo V3 convolutional neural network
J Liu, X Wang - Frontiers in plant science, 2020 - frontiersin.org
Tomato is affected by various diseases and pests during its growth process. If the control is
not timely, it will lead to yield reduction or even crop failure. How to control the diseases and …
not timely, it will lead to yield reduction or even crop failure. How to control the diseases and …
Real-time detection of cracks in tiled sidewalks using YOLO-based method applied to unmanned aerial vehicle (UAV) images
The conventional method of manually verifying the quality of tiled sidewalks is laborious,
because of the time-consuming identification of cracks from numerous grid-like elements of …
because of the time-consuming identification of cracks from numerous grid-like elements of …
Agricultural robotics for field operations
Modern agriculture is related to a revolution that occurred in a large group of technologies
(eg, informatics, sensors, navigation) within the last decades. In crop production systems …
(eg, informatics, sensors, navigation) within the last decades. In crop production systems …
Machine learning bridges omics sciences and plant breeding
J Yan, X Wang - Trends in Plant Science, 2023 - cell.com
Some of the biological knowledge obtained from fundamental research will be implemented
in applied plant breeding. To bridge basic research and breeding practice, machine learning …
in applied plant breeding. To bridge basic research and breeding practice, machine learning …
Digital transformation in smart farm and forest operations needs human-centered AI: challenges and future directions
The main impetus for the global efforts toward the current digital transformation in almost all
areas of our daily lives is due to the great successes of artificial intelligence (AI), and in …
areas of our daily lives is due to the great successes of artificial intelligence (AI), and in …