Results 41 to 50 of about 3,630 (161)

Risk Assessment and Examination of Economic Aspects of Precision Weed Management [PDF]

Sustainability, 2011
The aim of this research is to investigate plant production sustainability, the economical requirements, risks, and identify threshold levels to switching on, or off precision weed management techniques in Hungarian growing and sales conditions; taking into consideration that the implementation of precision technology can be justified also by its role ...
Katalin Takács-György, István Takács
openaire   +1 more source

Weed Density Detection Method Based on Absolute Feature Corner Points in Field

Agronomy, 2020
Field weeds identification is challenging for precision spraying, i.e., the automation identification of the weeds from the crops. For rapidly obtaining weed distribution in field, this study developed a weed density detection method based on absolute ...
Yanlei Xu, Run He, Zongmei Gao, Chenxiao Li, Yuting Zhai, Yubin Jiao   +5 more
doaj   +1 more source

Weed classification in sugarcane fields in Northeast Thailand from multi-temporal Sentinel-1 and Sentinel-2 data together with random forest algorithm

Science of Remote Sensing
Timely and accurate weed detection is essential for sustainable crop production and management. The integration of multiple satellite data sources with powerful machine learning has transformed precision agriculture by enhancing the accuracy and ...
Savittri Ratanopad Suwanlee, Muhammad Hanif, Kemin Kasa, Surasak Keawsomsee, Jaturong Som-ard, Vorraveerukorn Veerachitt, Phattamon Heawchaiyaphum, Akkawat Puntura, Mohammad D. Hossain, Sarawut Ninsawat   +9 more
doaj   +1 more source

Assessing Weed Canopy Cover in No-Till and Conventional Tillage Plots in Winter Wheat Production Using Drone Data

Agronomy
Weed canopy cover assessment, particularly using drone-acquired data, plays a vital role in precision agriculture by providing accurate, timely, and spatially detailed information, enhancing weed management decision-making in response to environmental ...
Judith N. Oppong, Clement E. Akumu, Sam Dennis   +2 more
doaj   +1 more source

Deep learning for image-based detection of weeds from emergence to maturity in wheat fields

Smart Agricultural Technology
Effective weed control in wheat (Triticum aestivum L.) fields is crucial for optimizing production and ensuring food security in semi-arid regions. The implementation of deep learning for weed detection could enable precise weed management, leading to ...
Mustafa Guzel, Bulent Turan, Izzet Kadioglu, Alper Basturk, Bahadir Sin, Amir Sadeghpour   +5 more
doaj   +1 more source

Future Directions for Automated Weed Management in Precision Agriculture

, 2013
In cropping systems, integrated weed management is based on diversification. Rather than relying solely on one or two herbicides, a multiplicity of weed control strategies is employed. Yet, integrated weed management as currently practiced is far from integrated; every weed is still managed the same regardless of location or season.
Young, Stephen L., Meyer, George, Woldt, Wayne   +2 more
openaire   +2 more sources

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

Journal of Agriculture and Food Research
Traditional weed management often involves blanket herbicide spraying, resulting in substantial herbicide wastage, environmental concerns, and herbicide resistant issues.
Arjun Upadhyay, Sunil G C, Yu Zhang, Cengiz Koparan, Xin Sun   +4 more
doaj   +1 more source

Lightweight Semantic Segmentation Network for Real-Time Weed Mapping Using Unmanned Aerial Vehicles

Applied Sciences, 2020
The timely and efficient generation of weed maps is essential for weed control tasks and precise spraying applications. Based on the general concept of site-specific weed management (SSWM), many researchers have used unmanned aerial vehicle (UAV) remote ...
Jizhong Deng, Zhaoji Zhong, Huasheng Huang, Yubin Lan, Yuxing Han, Yali Zhang   +5 more
doaj   +1 more source

Precision Weed Control Using Unmanned Aerial Vehicles and Robots: Assessing Feasibility, Bottlenecks, and Recommendations for Scaling

NDT - Journal of Non-Destructive Testing
Weeds cause significant yield and economic losses by competing with crops and increasing production costs. Compounding these challenges are labor shortages, herbicide resistance, and environmental pollution, making weed management increasingly difficult.
Shanmugam Vijayakumar, Palanisamy Shanmugapriya, Pasoubady Saravanane, Thanakkan Ramesh, Varunseelan Murugaiyan, Selvaraj Ilakkiya   +5 more
doaj   +1 more source

Modelling individual plants’ growth: competition of Viola arvensis and wheat

Frontiers in Agronomy
IntroductionCompetition by weeds is a severe threat to agricultural crops. While these days the broadcast of herbicides over the entire field is common praxis, new technologies promise to reduce chemical output by reducing the area sprayed.
Christoph von Redwitz, Janin Lepke, Janin Lepke, Otto Richter   +3 more
doaj   +1 more source