Results 31 to 40 of about 79,354 (341)

Performance evaluation of semi-supervised learning frameworks for multi-class weed detection. [PDF]

Front Plant Sci
Li J, Chen D, Yin X, Li Z.
europepmc   +3 more sources

Weed Detection in Rice Fields Using Remote Sensing Technique: A Review

Applied Sciences, 2021
This paper reviewed the weed problems in agriculture and how remote sensing techniques can detect weeds in rice fields. The comparison of weed detection between traditional practices and automated detection using remote sensing platforms is discussed ...
Rhushalshafira Rosle, Nik Norasma Che’Ya, Yuhao Ang, Fariq Rahmat, Aimrun Wayayok, Zulkarami Berahim, Wan Fazilah Fazlil Ilahi, Mohd Razi Ismail, Mohamad Husni Omar   +8 more
doaj   +1 more source

Intelligent Inter- and Intra-Row Early Weed Detection in Commercial Maize Crops. [PDF]

Plants (Basel)
Gómez A, Moreno H, Andújar D.
europepmc   +3 more sources

WEED DETECTION AND CLASSIFICATION

International Research Journal of Computer Science, 2022
In the agricultural sector, weed detection and categorization are of critical technical and financial relevance. It is possible to automate various processes, such as shape, colour, and texture, in weed control systems. Building a machine vision weed control system that can locate weeds in real-time is the aim of this article. The system is designed to
Sukumar Reddy K S, Bishan M V, Manikanta Sharma Naik R, Charan Kumar Reddy V   +3 more
openaire   +1 more source

Spatial and temporal stability of weed patches in cereal fields under direct drilling and harrow tillage [PDF]

, 2020
The adoption of conservation agriculture (CA) techniques by farmers is changing the dynamics of weed communities in cereal fields and so potentially their spatial distribution.
Baraibar Padró, Bàrbara, Izquierdo i Figarola, Jordi, Milne, Alice, Recasens i Guinjuan, Jordi, Royo-Esnal, Aritz, Torra Farré, Joel, Webster, R. (Richard)   +6 more
core   +3 more sources

Smart Weed Detection: An Real-Time Weed Detection for Onion Plantation

, 2023
Weed control is fundamental to farming since weeds decline yields, increment creation costs, impede reap and lower item quality. Weeds additionally hinder water system water-stream, obstruct pesticide application, and harbor infection creatures. Early techniques for weed control included hand cultivation with hoes powered cultivation with cultivators ...
Sugany, R, Pruthvi Raj, K, Franckleen David, M K, Santhosh Reddy, Kasireddy   +3 more
openaire   +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

The Application of Hyperspectral Remote Sensing Imagery (HRSI) for Weed Detection Analysis in Rice Fields: A Review

Applied Sciences, 2022
Weeds are found on every cropland across the world. Weeds compete for light, water, and nutrients with attractive plants, introduce illnesses or viruses, and attract harmful insects and pests, resulting in yield loss. New weed detection technologies have
Nursyazyla Sulaiman, Nik Norasma Che’Ya, Muhammad Huzaifah Mohd Roslim, Abdul Shukor Juraimi, Nisfariza Mohd Noor, Wan Fazilah Fazlil Ilahi   +5 more
doaj   +1 more source

The Weed Plant Detection

International Journal of Engineering and Advanced Technology, 2021
The Knowledge about the distribution of weeds within the sector could also be prerequisite for the site-specific treatment. Optical sensors changes to detect vary weed densities and species which can have mapped using GPS data. Weeds are extracted from the pictures that are using the image processing and therefore the report by the form features.
Geetha V., Gomathy CK, Y.Padmini Reddy, Haripriya V.   +3 more
openaire   +1 more source

Hyperspectral classification of Cyperus esculentus clones and morphologically similar weeds [PDF]

, 2020
Cyperus esculentus (yellow nutsedge) is one of the world's worst weeds as it can cause great damage to crops and crop production. To eradicate C. esculentus, early detection is key-a challenging task as it is often confused with other Cyperaceae and ...
Cool, Simon R., De Cauwer, Benny, Lauwers, Marlies, Nuyttens, David, Pieters, Jan   +4 more
core   +1 more source