Results 61 to 70 of about 79,354 (341)

Weed Detection Using Image Processing

International Journal for Research in Applied Science and Engineering Technology, 2023
Abstract: This project focuses on the development of an image processing based system for the detection of weeds in agricultural fields. The proposed system uses computer vision techniques to extract relevant features from the images of the field and classify the presence of weeds in the field.
openaire   +1 more source

Static laser weeding system based on improved YOLOv8 and image fusion

Journal of Agricultural Engineering
Laser weeding is one of the promising weed control methods for weed management in organic agriculture. However, the complex field environments lead to low weed detection accuracy, which makes it difficult to meet the requirements of high-precision laser
Xiwang Du, Xia Li, Fangtao Duan, Jiawei Hua, Mengchao Hu   +4 more
doaj   +1 more source

Weed detection by using image processing

Indonesian Journal of Electrical Engineering and Computer Science, 2023
In agricultural regions, the procedure of weed removal is crucial. Weed removal in the classic way, takes longer and requires greater physical effort. The idea is to eliminate weeds from agricultural fields automatically. The proposed study uses a deep learning algorithm to detect weeds growing between crops.
Vijaykumar Bidve, Sulakshana Mane, Pradip Tamkhade, Ganesh Pakle   +3 more
openaire   +1 more source

Vision-based weed identification with farm robots [PDF]

, 2010
Robots in agriculture offer new opportunities for real time weed identification and quick removal operations. Weed identification and control remains one of the most challenging task in agriculture, particularly in organic agriculture practices ...
Bochtis, Dionysis, Green, Ole, Nørremark, Michael, Swain, Kishore C., Sørensen, Claus Grøn   +4 more
core  

Real-time Semantic Segmentation of Crop and Weed for Precision Agriculture Robots Leveraging Background Knowledge in CNNs

, 2018
Precision farming robots, which target to reduce the amount of herbicides that need to be brought out in the fields, must have the ability to identify crops and weeds in real time to trigger weeding actions.
Lottes, Philipp, Milioto, Andres, Stachniss, Cyrill   +2 more
core   +1 more source

Ratoon Season Rice Reduces Methane Emissions by Limiting Acetic Acid Transport to the Rhizosphere and Inhibiting Methanogens

Advanced Science, EarlyView.
This study finds that the interaction between ABA‐OsCIPK2‐OsSWEET1A reduces the allocation of methane producing bacteria carbon source (acetic acid) content to the rhizosphere soil of ratoon season rice, thereby reducing methane emissions. Abstract Rice paddies are a major, persistent source of atmospheric methane (CH4), emission rates depend on the ...
Jingnan Zou, Hailong Xu, Bin Qin, Chaojie Lan, Jinying Li, Bianhong Zhang, Huabin Zhang, Chunlin Guo, Hongfei Chen, Zhongming Fang, Quanzhi Zhao, Wenfei Wang, Changxun Fang, Zhixing Zhang, Wenxiong Lin   +14 more
wiley   +1 more source

Weed25: A deep learning dataset for weed identification

Frontiers in Plant Science, 2022
Weed suppression is an important factor affecting crop yields. Precise identification of weed species will contribute to automatic weeding by applying proper herbicides, hoeing position determination, and hoeing depth to specific plants as well as ...
Pei Wang, Pei Wang, Pei Wang, Yin Tang, Fan Luo, Lihong Wang, Chengsong Li, Qi Niu, Hui Li, Hui Li   +9 more
doaj   +1 more source

Temperature and Farm Labor in Nigeria

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT We estimate the impact of temperature shocks on the composition of farm labor in rural Nigeria using a nationally representative household panel survey. Leveraging plausibly exogenous year‐to‐year variation in growing season temperatures, we find that warmer temperatures significantly alter farm labor composition, prompting a substantial shift
Andu Berha
wiley   +1 more source

Generative Artificial Intelligence Shaping the Future of Agri‐Food Innovation

AgriFood: Journal of Agricultural Products for Food, EarlyView.
Emerging use cases of generative artificial intelligence in agri‐food innovation. ABSTRACT The recent surge in generative artificial intelligence (AI), typified by models such as GPT, diffusion models, and large vision‐language architectures, has begun to influence the agri‐food sector.
Jun‐Li Xu, Dimitrios Argyropoulos, Tamíris da Costa   +2 more
wiley   +1 more source

Supporting Urban Weed Biosecurity Programs with Remote Sensing

Remote Sensing, 2020
Weeds can impact many ecosystems, including natural, urban and agricultural environments. This paper discusses core weed biosecurity program concepts and considerations for urban and peri-urban areas from a remote sensing perspective and reviews the ...
Kathryn Sheffield, Tony Dugdale
doaj   +1 more source