Results 141 to 150 of about 98,568 (293)
Hyperspectral texture analysis for colon tissue biopsy classification [PDF]
, 2007 Diagnosis and cure of colon cancer can be improved by performing automated histopathological analysis of colon biopsy samples. Due to significant observational variation between pathologists in several histological features, there is a need for the ...
Rajpoot, Nasir M. (Nasir Mahmood) +3 more
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PLANTS, PEOPLE, PLANET, EarlyView.Climate change is intensifying heat, drought, and food insecurity, threatening dryland farming and carbon management worldwide. We reviewed research on sorghum, a drought‐adapted C4 crop, covering physiology, roots, biomass allocation, soil carbon, bioenergy, breeding, phenotyping, management, and policy.
Monir Idres Yahya Ahmed +4 more
wiley +1 more source
Innovation in pest management: can the past inform the future?
Pest Management Science, EarlyView.Progress in pest management occurred incrementally, but occasionally, transformative discoveries introduced disruptive technologies. Looking ahead, generative artificial intelligence is expected to accelerate agricultural discovery by integrating vast datasets from mechanization, genetics, and chemistry.
Eric Moog, Franck E. Dayan
wiley +1 more source
Pest Management Science, Volume 81, Issue 4, Page 2300-2311, April 2025.Light‐emitting diode (LED)‐based treatments for enhancing crop production and pest management have primarily focused on continuous treatments. This study, using Tetranychus urticae and Phytoseiulus persimilis, demonstrates that the timing of LED supplementation is crucial for designing integrated pest management strategies that improve both plant ...
Patrice Savi +5 more
wiley +1 more source
Evaluation and assimilation of Arctic Weather Satellite data in the AROME‐Arctic forecast system
Quarterly Journal of the Royal Meteorological Society, EarlyView.The Arctic Weather Satellite (AWS), launched in August 2024, is a prototype for the future EPS–Sterna constellation of small satellites carrying an innovative microwave sounder. We present the first assessment of AWS in the regional AROME‐Arctic numerical weather prediction system, covering post‐launch calibration results and the impact of AWS ...
Stéphanie Guedj +2 more
wiley +1 more source
Quarterly Journal of the Royal Meteorological Society, EarlyView.Satellite radiance observations are spatially thinned using a grid‐based selection that retains one representative profile per cell. When observation errors are spatially correlated but treated as uncorrelated in the assimilation system, reducing thinning increases their influence, leading to overfitting and reduced analysis fit with other observations.
Joel Bedard +3 more
wiley +1 more source
Quarterly Journal of the Royal Meteorological Society, EarlyView.Numerical weather prediction over Indonesia is particularly challenging, because convection evolves rapidly and is modulated strongly by land–sea interactions across the maritime continent. To constrain forecasts better, there is substantial potential in assimilating all‐sky infrared observations, provided that the associated observation‐error ...
Miranti I. Hastuti +4 more
wiley +1 more source
Role and Relevance of Data Analytics in Beverage and Brewing Industry
Quality and Reliability Engineering International, EarlyView.ABSTRACT The digitalization of alcoholic‐beverage production has generated data‐rich environments, but the indexed literature does not clearly distinguish prediction‐oriented analytics from methods designed for continuous statistical process surveillance.
Erika Francesch‐Domenech +3 more
wiley +1 more source
Remote Sensing in Ecology and Conservation, EarlyView.High‐resolution visible‐light imagery from low‐altitude unmanned aerial vehicles, combined with superpixel segmentation and a Random Forest classifier, provides an efficient and scalable framework for mapping and monitoring crustose coralline algae and reef habitats.
Po‐Chien Lin +2 more
wiley +1 more source
Remote Sensing in Ecology and Conservation, EarlyView.We demonstrate that high‐resolution multispectral imagery combined with machine learning can accurately predict key biocrust functional indicators, particularly the UV‐protective pigment scytonemin, across dryland ecosystems. Using fine‐scale imagery acquired in the Chihuahuan Desert and Colorado Plateau, we identified spectral bands strongly ...
Raúl Román +8 more
wiley +1 more source