AIMC Topic: Plant Weeds

Clear Filters Showing 31 to 37 of 37 articles

Spectral Identification of Disease in Weeds Using Multilayer Perceptron with Automatic Relevance Determination.

Sensors (Basel, Switzerland)
, a smut fungus, is studied as an agent for the biological control of (milk thistle) weed. Confirmation of the systemic infection is essential in order to assess the effectiveness of the biological control application and assist decision-making. Non...

An efficient swarm intelligence approach to feature selection based on invasive weed optimization: Application to multivariate calibration and classification using spectroscopic data.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Variable selection plays a key role in classification and multivariate calibration. Variable selection methods are aimed at choosing a set of variables, from a large pool of available predictors, relevant to the analyte concentrations estimation, or ...

A Multi-Robot Sense-Act Approach to Lead to a Proper Acting in Environmental Incidents.

Sensors (Basel, Switzerland)
Many environmental incidents affect large areas, often in rough terrain constrained by natural obstacles, which makes intervention difficult. New technologies, such as unmanned aerial vehicles, may help address this issue due to their suitability to ...

Modeling and optimization of anaerobic codigestion of potato waste and aquatic weed by response surface methodology and artificial neural network coupled genetic algorithm.

Bioresource technology
A novel approach to overcome the acidification problem has been attempted in the present study by codigesting industrial potato waste (PW) with Pistia stratiotes (PS, an aquatic weed). The effectiveness of codigestion of the weed and PW was tested in...

Deep learning-based laser weed control compared to conventional herbicide application across three vegetable production systems.

Pest management science
BACKGROUND: Herbicides are the primary weed management method for processing vegetable growers, but challenges such as limited chemical options, herbicide resistance, crop injury risks, regulatory changes, and shifting consumer preferences are drivin...

Efficiently deep learning for monitoring in the wild.

Mathematical biosciences and engineering : MBE
are an invasive weed which has caused serious harm to the biodiversity and stability of the ecosystem. It is very important to accurately and rapidly identifying and monitoring in the wild for managements taking the necessary strategies to control ...