[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Raja et al., 2023 - Google Patents

Real-time control of high-resolution micro-jet sprayer integrated with machine vision for precision weed control

Raja et al., 2023

View HTML
Document ID
15326462763968205600
Author
Raja R
Slaughter D
Fennimore S
Siemens M
Publication year
Publication venue
biosystems engineering

External Links

Snippet

Highlights•A novel pixel-based weeds and crops classification algorithm was proposed.•Designed a novel, accurate, high-speed, centimetre precision spray actuator.•A real-time control algorithm was proposed for a high-resolution sprayer.•High detection …
Continue reading at www.sciencedirect.com (HTML) (other versions)

Similar Documents

Publication Publication Date Title
Raja et al. Real-time control of high-resolution micro-jet sprayer integrated with machine vision for precision weed control
Raja et al. Real-time weed-crop classification and localisation technique for robotic weed control in lettuce
Liu et al. Weed detection for selective spraying: a review
Tian Development of a sensor-based precision herbicide application system
Partel et al. Development and evaluation of a low-cost and smart technology for precision weed management utilizing artificial intelligence
Salcedo et al. Foliar deposition and coverage on young apple trees with PWM-controlled spray systems
Oberti et al. Selective spraying of grapevines for disease control using a modular agricultural robot
Raja et al. Real-time robotic weed knife control system for tomato and lettuce based on geometric appearance of plant labels
Ajayi et al. Effect of varying training epochs of a faster region-based convolutional neural network on the accuracy of an automatic weed classification scheme
Tufail et al. Identification of tobacco crop based on machine learning for a precision agricultural sprayer
Vijayakumar et al. Smart spraying technologies for precision weed management: A review
Raja et al. RTD-SEPs: Real-time detection of stem emerging points and classification of crop-weed for robotic weed control in producing tomato
BR102019027103A2 (en) process for distributing a spray medicine over an agricultural area
Zhao et al. Cabbage and weed identification based on machine learning and target spraying system design
CN114818909A (en) Weed detection method and device based on crop growth characteristics
Nieuwenhuizen et al. Performance evaluation of an automated detection and control system for volunteer potatoes in sugar beet fields
Upadhyay et al. Development and evaluation of a machine vision and deep learning-based smart sprayer system for site-specific weed management in row crops: An edge computing approach
Li et al. A real-time smart sensing system for automatic localization and recognition of vegetable plants for weed control
Özlüoymak Development and assessment of a novel camera-integrated spraying needle nozzle design for targeted micro-dose spraying in precision weed control
Rajaa et al. Precision weed control robot for vegetable fields with high crop and weed densities
Patil et al. Review on automatic variable-rate spraying systems based on orchard canopy characterization
Paul et al. Smart agriculture using UAV and deep learning: a systematic review
Zhang et al. Design and operation of a Peucedani Radix weeding device based on YOLOV5 and a parallel manipulator
Garibaldi-Márquez et al. Segmentation and classification networks for corn/weed detection under excessive field variabilities
Lottes et al. UAV-based field monitoring for precision farming