Search
Search Results
-
Related Study Based on Otsu Watershed Algorithm and New Squeeze-and-Excitation Networks for Segmentation and Level Classification of Tea Buds
In this study, image segmentation technology is utilized for segmentation of tea leaves and tender buds and deep learning technology is introduced...
-
Performance enhancement of kernelized SVM with deep learning features for tea leaf disease prediction
India is one of the world's leading tea producers, yet more than 70% of the country's tea is consumed domestically. Tea leaf diseases have a...
-
Accurate and Rapid Localization of Tea Bud Leaf Picking Point Based on YOLOv8
Aiming at the problem that agricultural tea picking robots cannot efficiently identify and locate tea bud picking points in complex environments,...
-
Automatic Recognition of Tea Bud Image Based on Support Vector Machine
The existing recognition method of tea shoots is only to judge the single color or shape features, resulting in low recognition accuracy. Therefore,...
-
Systematic study on deep learning-based plant disease detection or classification
Plant diseases impact extensively on agricultural production growth. It results in a price hike on food grains and vegetables. To reduce economic...
-
Classification of olive leaf diseases using deep convolutional neural networks
In recent years, there have been significant achievements in object classification with various techniques using several deep learning architectures....
-
Optimized deep learning vision system for human action recognition from drone images
There are several benefits to constructing a lightweight vision system that is implemented directly on limited hardware devices. Most deep...
-
Role of digital, hyper spectral, and SAR images in detection of plant disease with deep learning network
In agriculture, plants plays a major role and taking attention of plants is very critical. Generally, the plant are affected through various diseases...
-
Prediction of Rice Processing Loss Rate Based on GA-BP Neural Network
Food is closely related to national economy and people’s livelihood. Rice is the largest grain crop in China, it is crucial to predict the loss rate...
-
Intelligent detection for sustainable agriculture: A review of IoT-based embedded systems, cloud platforms, DL, and ML for plant disease detection
Plant diseases pose a significant threat to the sustainability of the environment and global food security. With an increasing population density and...
-
Future Contribution of Artificial Vision in Methodologies for the Development of Applications That Allow for Identifying Optimal Harvest Times of Medicinal Cannabis Inflorescences in Colombia
Artificial vision, also known as computer vision or technical vision, is the scientific discipline that includes methods to acquire, process,...
-
Specialty Crops: Walnuts
This chapter introduces specialty crop walnuts and yield patterns in the world and specifically studies the yield curves in major walnut-producing...
-
Everyday Involvement with Technology
This chapter discusses our involvement with digital products. Donald Norman tells us that he coined the term “user experience” (UX) to refer to “all...
-
Shape Feature Extraction of Wheat Leaf Disease Based on Invariant Moment Theory
Shape feature extraction is a key research direction on wheat leaf disease recognition. In order to resolve the problem of translation, scaling and...
-
’Ethos’ Enabling Organisational Knowledge Creation
This paper examines knowledge creation in relation to improvements on the production line in the manufacturing department of Nissan Motor Company and...