Results 171 to 180 of about 255,184 (298)
Architectural Analysis for Novel Olive Crop Management. [PDF]
Annabi K +7 more
europepmc +1 more source
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov +3 more
wiley +1 more source
Correction: Crop management to enhance plant resilience to abiotic stress using nanotechnology: towards more efficient and sustainable agriculture. [PDF]
Al-Dossary O, Alnaddaf LM, Al-Khayri JM.
europepmc +1 more source
Predicting the growth of lettuce from soil infrared reflectance spectra: the potential for crop management. [PDF]
Breure TS +6 more
europepmc +1 more source
This article highlights the development of robust and high‐performance flexible and stretchable biosensors that maintain long‐term functionality and optimal electrical conductivity under mechanical deformation, utilizing sustainable and cost‐effective manufacturing principles.
Mousa H. Aldosari, Ahyeon Koh
wiley +1 more source
Crop management to enhance plant resilience to abiotic stress using nanotechnology: towards more efficient and sustainable agriculture. [PDF]
Al-Dossary O, Alnaddaf LM, Al-Khayri JM.
europepmc +1 more source
Crop Management Impacts the Soybean (Glycine max) Microbiome. [PDF]
Longley R +5 more
europepmc +1 more source
The study considers the use of polymer/dielectric‐based multilayers piezoelectric Energy Harvesters (EH) to produce an output voltage and current, by exploiting the mechanical energy provided by human organs movements. In particular, the heart motion is considered from the kinematic viewpoint, and a multiphysics theoretical model is developed to assess
Hamdi Ezzin +5 more
wiley +1 more source
Phosphorus and cover crop management practices affect phosphorus speciation in soils and eroded sediments. [PDF]
Gamage KHH +6 more
europepmc +1 more source
In this study, we propose a biodegradable wireless soil urea sensor for precision agriculture. The sensor's electromagnetic response varies depending on the urea concentration, allowing the measurement of relative soil urea concentrations by analyzing the time‐transient electromagnetic response.
Yu Tanaami +5 more
wiley +1 more source

