RETRACTED: Advanced techniques for Weed and crop identification for site specific Weed management

Singh, Karan; Agrawal, K. N.; Bora, Ganesh C.

doi:10.1016/j.biosystemseng.2011.02.002

Cited by 18 publications

(13 citation statements)

References 73 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, Co is the component of spatial variability that cannot be related to a specific cause. Rather, it can be attributed to random variability, and smaller random variations are indicative of more accurate estimates (Vieira, 2000). The values of Co for the color camera in both tillage systems were the smallest ones and were close to zero.…”

Section: Geostatistical Analysis and Map Buildingmentioning

confidence: 86%

See 1 more Smart Citation

Weed mapping using a machine vision system

et al. 2012

View full text Add to dashboard Cite

-Weed mapping is a useful tool for site-specific herbicide applications. The objectives of this study were (1) to determine the percentage of land area covered by weeds in no-till and conventionally tilled fields of common bean using digital image processing and geostatistics, and (2) to compare two types of cameras. Two digital cameras (color and infrared) and a differential GPS were affixed to a center pivot structure for image acquisition. Sample field images were acquired in a regular grid pattern, and the images were processed to estimate the percentage of weed cover. After calculating the georeferenced weed percentage values, maps were constructed using geostatistical techniques. Based on the results, color images are recommended for mapping the percentage of weed cover in no-till systems, while infrared images are recommended for weed mapping in conventional tillage systems.Keywords: precision agriculture, geostatistic, common bean. RESUMO -Mapeamento de plantas daninhas é uma ferramenta útil em aplicações localizadas de herbicidas. Os objetivos deste trabalho foram: determinar o percentual da cobertura vegetal de plantas daninhas em uma lavoura de feijão sob os sistemas de plantio direto e convencional, usando processamento digital de imagens e geoestatística; e comparar dois tipos de câmera. O sistema de visão artificial era composto por duas câmeras digitais (colorida e infravermelha), acopladas à estrutura móvel do pivô central, e um DGPS. As imagens adquiridas representavam amostras da área

show abstract

Section: Geostatistical Analysis and Map Buildingmentioning

confidence: 86%

“…To improve the efficiency of herbicides, farmers should apply the product only where necessary. Thus, weed mapping, which identifies infestations throughout a production area, has been pointed as one of the tools for the site-specific application of herbicides (Singh et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Weed mapping using a machine vision system

et al. 2012

View full text Add to dashboard Cite

show abstract

“…Sensors and guidance technology are being developed for cropping systems that would allow for real‐time recognition of target plants (e.g. weeds) and potential improvements in the discrete and targeted application of management tools at very fine spatiotemporal scales (Singh et al. , 2011).…”

Section: The Need For Changementioning

confidence: 99%

True integrated weed management

Young

2012

Weed Research

View full text Add to dashboard Cite

Young SL (2012) True Integrated Weed Management. Weed Research 52, 107–111. Summary Using the simplest of definitions, integrated weed management has been described as ‘putting components [of weed control] together, not taking them apart’. Yet, weed science has stopped at the ‘field edge’ in assembling the components into a truly integrated approach. What is keeping weed scientists from developing real integrated weed control regardless of space and time? The answer to this question lies with our colleagues in the engineering and computer science fields, who have made significant advances in developing automated machinery for real‐time detection and control of weeds in cropping systems. By using the latest technologies that can quickly identify weeds and react with precisely targeted applications, conceptually, weed control tools could be integrated for use at anytime and at any point in a field. This paper provides justification for using a single platform in the field that can instantaneously assess individual weeds and determine the most appropriate control method, simultaneously. In addition, I have modified an existing concept design to show the potential for a highly responsive weed management system that can transcend spatiotemporal restrictions and within‐field variability.

show abstract

“…Brown & Noble (2005); Singh et al (2011);Weis & Sökefeld (2010) review the methods and approaches for an automated weed sampling. There are only a few commercially available sensor systems on the market, which can be used for weed density estimation.…”

Section: Sensing Weedsmentioning

confidence: 99%