Results 51 to 60 of about 79,354 (341)

Weed Detection in Agricultural Fields

International Journal for Research in Applied Science and Engineering Technology, 2023
Abstract: In this world, agriculture is a vital and necessary component of human nutrition. The majority of people in the world work in agriculture. The economy's agricultural sector is important. Also, it is crucial to reduce prices while raising the calibre of agricultural output. Modern agriculture needs to be more productive in order to meet demand
Pooja V. Baravkar, Ruchira A. Dangat, Suvarna S. Kengale, Nilam V. Bhade   +3 more
openaire   +1 more source

Functional biodiversity in the agricultural landscape: relationships between weeds and arthropod fauna [PDF]

, 2010
We reviewed studies aimed at understanding functional relationships between weeds and arthropods in agroecosystems as influenced by biodiversity at different scales, with the main goal of highlighting gaps in knowledge, research methods and ...
Allen, Alma, Altieri, Arnaud, Bailey, Bangert, Bezemer, Blaschke, Bugg, Burgio, Burgio, Capinera, Carmona, Chambers, Crutsinger, Davidson, De La Fuente, De Snoo, DEFRA, Delucchi, DeSousa, Dicke, Donald, European Environment Agency, Fernandez-Quintanilla, Franke, Gardiner, Girma, Gliessman, Gruere, Gurevitch, Hails, Henle, Hillocks, Idda, Jiménez, Johnson, Kenkel, Kleijn, Kyriakidis, Landis, Landis, Lazzerini, Makowski, Marshall, McEvoy, Moonen, Moonen, Natural England, Natural England, Norris, Norris, Paoletti, Park, Perry, Perry, Ragaglini, Risch, Risch, Schweitzer, Shearin, Shuster, Siebert, Soler, Southwood, Storkey, Thies, Tindall, Tooley, Tscharntke, Van Emden, Van Geert, Westerman, Westerman, Whitham, Whitham, Wilson, Wilson, World Bank, Zanin   +79 more
core   +1 more source

Weed detection in 3D images [PDF]

Precision Agriculture, 2010
Machine vision has been successfully used for mechanical destruction of weeds between rows of crops. Knowledge of the position of the rows where crops should be growing and the assumption that plants growing outside such positions are weeds may be used in such systems.
Piron, Alexis, Van Der Heijden, F., Destain, Marie-France   +2 more
openaire   +1 more source

Early Detection of Broad-Leaved and Grass Weeds in Wide Row Crops Using Artificial Neural Networks and UAV Imagery

Agronomy, 2021
Significant advances in weed mapping from unmanned aerial platforms have been achieved in recent years. The detection of weed location has made possible the generation of site specific weed treatments to reduce the use of herbicides according to weed ...
Jorge Torres-Sánchez, Francisco Javier Mesas-Carrascosa, Francisco M. Jiménez-Brenes, Ana I. de Castro, Francisca López-Granados   +4 more
doaj   +1 more source

Automatic detection of crop rows in maize fields with high weeds pressure [PDF]

, 2012
This paper proposes a new method, oriented to crop row detection in images from maize fields with high weed pressure. The vision system is designed to be installed onboard a mobile agricultural vehicle, i.e.
A. Ribeiro, Asif, Astrand, Bates, Billingsley, Bossu, Burgos-Artizzu, Burgos-Artizzu, Fontaine, G. Pajares, Golub, Golub, Gonzalez, Gée, Hague, Hague, J. Romeo, J.J. Ruz, J.M. Cruz, J.M. Guerrero, Ji, Johnson, Jones, Jones, Kise, Kise, Leemans, M. Guijarro, M. Montalvo, Marchant, Markovsky, Marquardt, Meyer, Meyer, Neto, Olsen, Onyango, Otsu, Perez, Pla, Rovira-Más, Rovira-Más, Sainz-Costa, Slaughter, Søgaard, Tellaeche, Tellaeche, Tellaeche, Vioix, Wei, Woebbecke, Xiang   +51 more
core   +2 more sources

Mapping Wide Row Crops with Video Sequences Acquired from a Tractor Moving at Treatment Speed [PDF]

, 2011
This paper presents a mapping method for wide row crop fields. The resulting map shows the crop rows and weeds present in the inter-row spacing. Because field videos are acquired with a camera mounted on top of an agricultural vehicle, a method for image
Burgos-Artizzu, Xavier P., Guijarro, Maria, Pajares, Gonzalo, Ribeiro, Angela, Sainz-Costa, Nadir   +4 more
core   +7 more sources

Deep Learning based Weed Detection

International Journal of Advanced Research in Science, Communication and Technology, 2023
Weeds are one of the most harmful agricultural pests that have a significant impact on crops. Weeds are responsible for higher production costs due to crop waste and have a significant impact on the global agricultural economy. The importance of this problem has promoted the research community in exploring the use of technology to support farmers in ...
openaire   +1 more source

Time-Domain Data Fusion Using Weighted Evidence and Dempster–Shafer Combination Rule: Application in Object Classification [PDF]

, 2019
To apply data fusion in time-domain based on Dempster–Shafer (DS) combination rule, an 8-step algorithm with novel entropy function is proposed. The 8-step algorithm is applied to time-domain to achieve the sequential combination of time-domain data ...
Anwar, Sohel, Khan, Md Nazmuzzaman
core   +1 more source

Weed Detection Algorithms in Rice Fields Based on Improved YOLOv10n

Agriculture
Weeds in paddy fields compete with rice for nutrients and cause pests and diseases, greatly affecting rice yield. Accurate weed detection is vital for implementing variable spraying with unmanned aerial vehicles (UAV) for weed control.
Yan Li, Zhonghui Guo, Yan Sun, Xiaoan Chen, Yingli Cao   +4 more
doaj   +1 more source

Image Prompt Adapter-Based Stable Diffusion for Enhanced Multi-Class Weed Generation and Detection

AgriEngineering
The curation of large-scale, diverse datasets for robust weed detection is extremely time-consuming and resource-intensive in practice. Generative artificial intelligence (AI) opens up opportunities for image generation to supplement real-world image ...
Boyang Deng, Yuzhen Lu
doaj   +1 more source