Results 221 to 230 of about 144,958 (323)
ABSTRACT Background Generally, studies in perinatal epidemiology restrict cohort entry to 20 weeks of gestation, but exposures and outcomes may occur earlier. This restriction may introduce left truncation bias. Objectives To examine the impact of left truncation bias when estimating the causal effect of abruption on perinatal mortality in the context ...
Alan C. Kinlaw +2 more
wiley +1 more source
Detection of weeds in teff crops using deep learning and UAV imagery for precision herbicide application. [PDF]
Kebede AS, Muluneh TW, Adege AB.
europepmc +1 more source
Abstract Introduction Over half of dryland ecosystems worldwide are degraded, making restoration a priority. Most dryland restoration efforts use seed‐based approaches, which often result in limited establishment of desirable species. The dual challenges of abiotic stressors and invasive species dominance are key barriers to native plant community ...
Emily H. Swartz +2 more
wiley +1 more source
HDMS-YOLO: a multi-scale weed detection model for complex farmland environments. [PDF]
Hua J, He R, Zeng Y, Chen Q.
europepmc +1 more source
The Dismal Harvest: The Uneven Landscapes of AI in Agriculture
ABSTRACT In this intervention, I examine artificial intelligence (AI) in agriculture through a political ecology lens, analysing how promises of productivity, efficiency, and sustainability take shape across uneven postcolonial landscapes. Building on feminist and critical agrarian perspectives, I focus on the material relations of farming to show that
Katarzyna Cieslik
wiley +1 more source
Deep learning classification of INSV-associated weeds in Monterey county using a curated RGB image dataset. [PDF]
Sharma AK +14 more
europepmc +1 more source
Utilizing high‐throughput phenotyping to identify metribuzin tolerance in winter wheat
Abstract Plant breeders and weed scientists address weed management collaboratively by selecting for herbicide tolerance in breeding programs. Metribuzin, a Group 5 PSII‐inhibiting herbicide, is labeled for use in wheat (Triticum aestivum L.). However, application to currently available lines results in frequent, variable, and unpredictable crop injury.
Melinda Zubrod +4 more
wiley +1 more source
A sustainable crop protection through integrated technologies: UAV-based detection, real-time pesticide mixing, and adaptive spraying. [PDF]
Li W +6 more
europepmc +1 more source
Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang +12 more
wiley +1 more source

