Results 81 to 90 of about 5,511,548 (230)

Multi‐Spectral Gaussian Splatting with Neural Color Representation

Computer Graphics Forum, EarlyView.
Abstract 3D Gaussian Splatting (3DGS) [KKLD23] has transformed novel‐view synthesis from RGB images, yet remains restricted to the visible spectrum. Many applications, including agricultural monitoring, rely on multi‐spectral imaging, where spectral camera alignment and scalability pose major challenges.
Lukas Meyer, Josef Grün, Maximilian Weiherer, Bernhard Egger, Marc Stamminger, Linus Franke   +5 more
wiley   +1 more source

Storying Multispecies‐Life‐and‐Death: Becoming‐Grief‐Able in Educational Spaces for Post‐Necrocene Futures

Children &Society, EarlyView.
ABSTRACT We situate this article from/with/in the Necrocene, a geological period marked by the systematic production of human and more‐than‐human death to an extent that ecological destruction, extinction, loss and harm have become a structural feature of modern life.
Charlotte Hankin, Hannah Hogarth
wiley   +1 more source

A systematic review of deep learning techniques for apple leaf diseases classification and detection [PDF]

PeerJ Computer Science
Agriculture sustains populations and provides livelihoods, contributing to socioeconomic growth. Apples are one of the most popular fruits and contains various antioxidants that reduce the risk of chronic diseases. Additionally, they are low in calories,
Assad Souleyman Doutoum, Bulent Tugrul
doaj   +2 more sources

Immersive virtual reality arm exercise, physical activity, and cardiometabolic health in cerebral palsy: A phase 1 trial

Developmental Medicine &Child Neurology, EarlyView.
In this pilot randomized trial, 32 young people with cerebral palsy used seated, telehealth‐delivered virtual reality exergaming for 12 weeks. Participants averaged 144 minutes per week of exercise and self‐reported physical activity increased by up to 166%, with favorable early changes in insulin (−45%) and triglycerides (−20%), while a waitlist ...
Byron Lai, Drew Davis, Raven Young, Ashley Wright, Robert A. Oster, Huacong Wen, Erin Swanson‐Kimani, Cynthia Wozow, Kelli Chaviano, Barbara Gower, James H. Rimmer   +10 more
wiley   +1 more source

TECHNICAL BARRIERS TO TRADE: A CASE STUDY OF PHYTOSANITARY BARRIERS AND U.S. - JAPANESE APPLE TRADE [PDF]

Concern about the use if technical barriers as restrictions to trade has increased since the World Trade Organization Agreement on Agriculture. In this analysis, we quantify the phytosanitary barriers to U.S.
Calvin, Linda, Krissoff, Barry
core  

Oleanolic Acid‐Enriched Olive Oil Attenuates Kidney Function Decline in Patients With Type 2 Diabetes: Results From the OLTRAD Randomised Controlled Trial

Diabetes, Obesity and Metabolism, EarlyView.
ABSTRACT Aims Chronic kidney disease (CKD) is a major complication of type 2 diabetes mellitus (T2DM), driven in part by oxidative stress and the accumulation of advanced glycation end products (AGEs). Oleanolic acid (OA), a natural triterpene present in olive‐derived matrices, may modulate AGE metabolism.
Aída García‐González, Alejandro Matamoros‐Domínguez, Juan Manuel Espinosa‐Cabello, Gisela Pérez‐Muñoz, Manuel Jesús León Aranda, María Del Carmen Roque‐Cuellar, Silvia García‐Rey, Andrés Jiménez‐Sánchez, Antonio Jesús Martínez‐Ortega, Miguel Ángel Mangas‐Cruz, Isabel Cerrillo, Javier S. Perona, Pedro Pablo García‐Luna, Elena María Yubero‐Serrano, José María Castellano   +14 more
wiley   +1 more source

The phenotypic expression of QTLs for partial resistance to barley leaf rust during plant development [PDF]

, 2010
Partial resistance is generally considered to be a durable form of resistance. In barley, Rphq2, Rphq3 and Rphq4 have been identified as consistent quantitative trait loci (QTLs) for partial resistance to the barley leaf rust pathogen Puccinia hordei ...
Qi, Xiaoquan, Marcel, Thierry, T., Niks, R.E., Wang, Zhen, Wang, Yajun, Niks, Rients E, Marcel, T.C., Wang, Lijuan   +7 more
core   +1 more source

Application of a Latent Diffusion Model to Plant Disease Detection by Generating Unseen Class Images

AgriEngineering
Deep learning-based methods have proven to be effective for various purposes in the agricultural sector. However, these methods require large amounts of labelled data, which are difficult to prepare and preprocess.
Noriyuki Mori, Hiroki Naito, Fumiki Hosoi   +2 more
doaj   +1 more source

The Importance of the Larval Parasitoid Actia interrupta (Diptera: Tachinidae) in Low Density Eastern Spruce Budworm Populations

Entomologia Experimentalis et Applicata, EarlyView.
Actia interrupta is an important larval tachinid parasitoid during low‐density populations of the eastern spruce budworm. In the late 1980s during the outbreak collapse, Meteorus trachynotus was initially the most important species, but was replaced by A. interrupta. Host patch size and density had no impact on the parasitism rates by A.
Véronique Martel, Jacques Régnière, Jean‐Claude Thireau   +2 more
wiley   +1 more source

BLSENet: A Novel Lightweight Bilinear Convolutional Neural Network Based on Attention Mechanism and Feature Fusion Strategy for Apple Leaf Disease Classification

Journal of Food Quality
Accurate identification of apple leaf diseases is of great significance for improving apple yield. The lesion area of the apple leaf disease image is small and vulnerable to background interference, which easily leads to low recognition accuracy.
Tianyu Fang, Jialin Zhang, Dawei Qi, Mingyu Gao   +3 more
doaj   +1 more source