نتایج جستجو برای: invasive weed algorithm
تعداد نتایج: 904760 فیلتر نتایج به سال:
We report the 3.16 Mb draft genome of Acinetobacter sp. strain BMW17, a Gram-negative bacterium in the class of Gammaproteobacteria, isolated from the rhizospheric region of Phragmites karka, an invasive weed in Chilika Lake, Odisha, India. The strain BMW17(T) is capable of degrading cellulose and is also an efficient plant growth promoter that can be useful for various phytoremedial and commer...
Accurate and timely detection of weeds between and within crop rows in the early growth stage is considered one of the main challenges in site-specific weed management (SSWM). In this context, a robust and innovative automatic object-based image analysis (OBIA) algorithm was developed on Unmanned Aerial Vehicle (UAV) images to design early post-emergence prescription maps. This novel algorithm ...
This paper presents a computer vision system that is able to discriminate between weed patches and crop rows in real-time, from videos taken directly from a tractor moving through the field. Weed/crop discrimination is highly simplified thanks to video stabilization. We present a simple but effective variant of the inverse compositional algorithm for image alignment, and show that on our videos...
abstract chickpea is weak in competition of weeds that damages to it at between 40 t0 60 percent. kermanshah province is one of the most important region for chickpea fields in iran. for these reosons, weed management is necessary in this crop. in order to evaluate of herbicides and stubble control on broad leave weeds control in chickpea. experiment was conducted in agricultural research stat...
Weed infestation is a common problem in agriculture that adversely affects crop production. Given severe constraints on the budget of many landgrant universities due to the economic downturn, outreach services have taken a hit. To adapt to current economic climate without adversely affecting the quality of outreach program for weed management, we present a hierarchical system that uses image ca...
This study concerns the detection and localization of weed patches in order to improve the knowledge on weed-crop competition. A remote control aircraft provided with a camera allowed to obtain low cost and repetitive information. Different processings were involved to detect weed patches using spatial then spectral methods. First, a shift of colorimetric base allowed to separate the soil and p...
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