Results 61 to 70 of about 144,958 (323)

Hortibot: Feasibility study of a plant nursing robot performing weeding operations – part IV [PDF]

, 2007
Based on the development of a robotic tool carrier (Hortibot) equipped with weeding tools, a feasibility study was carried out to evaluate the viability of this innovative technology. The feasibility was demonstrated through a targeted evaluation adapted
Jensen, Kjeld, Jensen, Lars Aa., Jørgensen, Rasmus N., Maagaard, Jørgen, Nørremark, Michael, Sørensen, Claus G.   +5 more
core   +1 more source

Herbicide Resistance Management: Recent Developments and Trends

Plants, 2019
This review covers recent developments and trends in herbicide-resistant (HR) weed management in agronomic field crops. In countries where input-intensive agriculture is practiced, these developments and trends over the past decade include renewed ...
Hugh J. Beckie, Michael B. Ashworth, Ken C. Flower   +2 more
doaj   +1 more source

Comparison of Object Detection and Patch-Based Classification Deep Learning Models on Mid- to Late-Season Weed Detection in UAV Imagery

Remote Sensing, 2020
Mid- to late-season weeds that escape from the routine early-season weed management threaten agricultural production by creating a large number of seeds for several future growing seasons.
Arun Narenthiran Veeranampalayam Sivakumar, Jiating Li, Stephen Scott, Eric Psota, Amit J. Jhala, Joe D. Luck, Yeyin Shi   +6 more
doaj   +1 more source

A Field Weed Density Evaluation Method Based on UAV Imaging and Modified U-Net

Remote Sensing, 2021
Weeds are one of the main factors affecting the yield and quality of agricultural products. Accurate evaluation of weed density is of great significance for field management, especially precision weeding.
Kunlin Zou, Xin Chen, Fan Zhang, Hang Zhou, Chunlong Zhang   +4 more
doaj   +1 more source

Weed and crop species classification using computer vision and deep learning technologies in greenhouse conditions

Journal of Agriculture and Food Research, 2022
Site-specific weed management in Precision Agriculture is becoming a popular topic among researchers and farmers. The objective of this study was to classify weeds and crop species using RGB image texture features with the comparison of the Support ...
Sunil G C, Yu Zhang, Cengiz Koparan, Mohammed Raju Ahmed, Kirk Howatt, Xin Sun   +5 more
doaj   +1 more source

BonnBot-I: A Precise Weed Management and Crop Monitoring Platform

2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022
Cultivation and weeding are two of the primary tasks performed by farmers today. A recent challenge for weeding is the desire to reduce herbicide and pesticide treatments while maintaining crop quality and quantity. In this paper, we introduce BonnBot-I a precise weed management platform which can also performs field monitoring.
Ahmadi, Alireza, Halstead, Michael, McCool, Chris   +2 more
openaire   +2 more sources

Weed detection in agricultural fields using machine vision [PDF]

BIO Web of Conferences
Weeds have the potential to cause significant damage to agricultural fields, so the development of weed detection and automatic weed control in these areas is very important.
Moldvai László, Ambrus Bálint, Teschner Gergely, Nyéki Anikó   +3 more
doaj   +1 more source

Crop-Weed Segmentation and Classification Using YOLOv8 Approach for Smart Farming

Journal of Studies in Science and Engineering
Accurately segmenting crop and weed images in agricultural fields is crucial for precision farming and effective weed management. This study introduces a new method that leverages the YOLOv8 object detection model for precise crop and weed segmentation ...
Sandip Sonawane, Nitin N. Patil
doaj   +1 more source

Performance evaluation of deep learning object detectors for weed detection for cotton

Smart Agricultural Technology, 2023
Alternative non-chemical or chemical-reduced weed control tactics are critical for future integrated weed management, especially for herbicide-resistant weeds. Through weed detection and localization, machine vision technology has the potential to enable
Abdur Rahman, Yuzhen Lu, Haifeng Wang
doaj   +1 more source

Benefits of Precision Farming Technologies for Mechanical Weed Control in Soybean and Sugar Beet—Comparison of Precision Hoeing with Conventional Mechanical Weed Control

Agronomy, 2015
Weed infestations and associated yield losses require effective weed control measures in soybean and sugar beet. Besides chemical weed control, mechanical weeding plays an important role in integrated weed management systems.
Christoph Kunz, Jonas Felix Weber, Roland Gerhards   +2 more
doaj   +1 more source