Results 31 to 40 of about 144,958 (323)

UAV Low-Altitude Remote Sensing for Precision Weed Management [PDF]

open access: yesWeed Technology, 2017
AbstractPrecision weed management, an application of precision agriculture, accounts for within-field variability of weed infestation and herbicide damage. Unmanned aerial vehicles (UAVs) provide a unique platform for remote sensing of field crops. They are more efficient and flexible than manned agricultural airplanes in acquiring high-resolution ...
Yanbo Huang   +3 more
openaire   +2 more sources

Emerging technologies in precision weed management: Tools, techniques, and the future of agriculture [PDF]

open access: diamondInternational Journal of Advanced Biochemistry Research
In recent decades, the global population surge has created a demand for increased food production, placing greater stress on agricultural systems. Challenges such as climate change, water scarcity, and diminishing arable land further jeopardize the ...
Smita Agrawal
openalex   +2 more sources

Ambrosia artemisiifolia in Hungary: A Review of Challenges, Impacts, and Precision Agriculture Approaches for Sustainable Site-Specific Weed Management Using UAV Technologies [PDF]

open access: goldAgriEngineering
Weed management has become a critical agricultural practice, as weeds compete with crops for nutrients, host pests and diseases, and cause major economic losses.
Sherwan Yassin Hammad   +2 more
doaj   +2 more sources

Exploiting adversarial style for generalized and robust weed segmentation in rice paddy field [PDF]

open access: yesFrontiers in Plant Science
In precision agriculture, effective weed management is pivotal for enhancing rice cultivation yield and quality. However, accurately differentiating weeds from rice crops remains a fundamental challenge for precision weeding.
Yaoxuan Zhang   +10 more
doaj   +2 more sources

Sustainable Approach to Weed Management: The Role of Precision Weed Management

open access: green
In recent years, the precision agriculture sector has shown a noticeable preference for weed control methods that pertain to the specifics of individual site. Measuring weed densities in a field is crucial when deciding the management of a subfield.
Mummasani Asritha, G. Gowtham, Kotresh D.J., Lokesh Singh Bohra
  +4 more sources

Weed-crop dataset in precision agriculture: Resource for AI-based robotic weed control systemsMendeley Data [PDF]

open access: yesData in Brief
Effective weed management is crucial for maintaining optimal crop growth and achieve higher yield. Recent advancement in robotic technologies and advanced deep learning (DL) models is shaping the future of robotic weed control systems. However, DL models
Arjun Upadhyay   +7 more
doaj   +2 more sources

Evolution and Future Directions in Herbicide-Resistant Crop Development and Weed Management [PDF]

open access: yesRice
The persistent challenge of weed management in agriculture has been profoundly influenced by the development and adoption of herbicide-resistant (HR) crops. This review examines the historical evolution, current dynamics, and future directions of HR crop
Xiaodong Hou   +3 more
doaj   +2 more sources

Weed Management Methods for Herbaceous Field Crops: A Review

open access: yesAgronomy
Weeds compete with crops for water and nutrients and can adversely affect crop growth and yield, so it is important to research effective weed control methods. This paper provides an overview of the impact of weeds on crop yield and describes the current
Wen-Tao Gao, Wen-Hao Su
doaj   +2 more sources

Active Chlorophyll Fluorescence Technologies in Precision Weed Management: Overview and Perspectives [PDF]

open access: goldAgriculture
Weeds are among the primary factors that adversely affect crop yields. Chlorophyll fluorescence, as a sensitive indicator of photosynthetic activity in green plants, provides direct insight into photosynthetic efficiency and the functional status of the photosynthetic apparatus.
Jintian Hu   +7 more
openalex   +2 more sources

WeedSwin hierarchical vision transformer with SAM-2 for multi-stage weed detection and classification [PDF]

open access: yesScientific Reports
Weed detection and classification using computer vision and deep learning techniques have emerged as crucial tools for precision agriculture, offering automated solutions for sustainable farming practices.
Taminul Islam   +4 more
doaj   +2 more sources

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