Results 141 to 150 of about 6,041,631 (228)

Economic Impact of a Deep Learning Algorithm for Automated Head and Neck Surgery Referral Triage

The Laryngoscope, EarlyView.
This prospective cost–benefit analysis evaluated a deep learning algorithm for automated referral triage across 214 new patient referrals at a high‐volume Head and Neck Surgical Oncology center operating under a fee‐for‐service model. The algorithm reduced referral triage labor by 98.5% (displacing 0.94 FTEs per division) and identified 80 verified ...
Stephanie Younan, Pearl Doan, Kevin Xin, Max L. Jiam, Patrick K. Ha, Katherine C. Wai, Nicole T. Jiam   +6 more
wiley   +1 more source

The Importance of Landscape Composition for Pest Control and Crop Yield: A Global Quantitative Synthesis. [PDF]

Ecol Lett
Poveda K, Karp DS, Chaplin-Kramer R, Centrella M, Luttermoser T, Perez-Alvarez R, O'Rourke ME, Martin EA, Grab H.   +8 more
europepmc   +1 more source

Land Degradation and Its Economic Impacts on Agriculture and Forestry: Exploring IoT‐Based Mitigation Strategies

Land Degradation &Development, EarlyView.
ABSTRACT Land degradation threatens agricultural and forestry economies by lowering productivity, raising input costs, and increasing risk. This study examines whether Internet of Things applications moderate these losses in 1321 mainland Chinese counties from 2011 to 2024. Land degradation is measured separately through vegetation trends, modeled soil
Chengting Zheng, Guoqing Zhang, Shufang Wu, Ling Li, Yeting Lu   +4 more
wiley   +1 more source

Geographic Information System Applications in Bee Research. [PDF]

Insects
Rojas-Briceño NB, Silva-López JO, Guzman BK, Ix-Balam MA, Ramos-Tejeda JL, Oliva-Cruz M, Veneros J, García L.   +7 more
europepmc   +1 more source

The Impact of New Agricultural Operating Entities on Farmers' Adoption of Green Production Practices: Evidence From China

Land Degradation &Development, EarlyView.
ABSTRACT New agricultural operating entities (NAOEs) are the organizational core of modern agricultural systems, yet whether and how they draw smallholders into green production remains empirically unsettled. Using survey data from 803 vegetable growers in Shandong Province, China, and combining the coefficient of variation method, propensity score ...
Xiaoying Zhao, Qingzhi Liu, Zeyuan Li
wiley   +1 more source

Spatio-temporal field, landscape and meteorological datasets describing bruchid beetle populations, grain damage and parasitism in faba bean and lentil fields in France. [PDF]

Data Brief
Herrera C, Bedoussac L, Chery-Lagrange A, Chapelin-Viscardi JD, Tricault Y, Gardarin A.   +5 more
europepmc   +1 more source

Native Perennial Vegetation Buffer Strips Improve Structural Indicators of Riparian Protection in Mediterranean Agroecosystems

Land Degradation &Development, EarlyView.
ABSTRACT Riparian zones in Mediterranean agroecosystems are highly vulnerable to degradation because cultivation often reaches stream edges and annual vegetation senesces during the late‐summer dry period, leaving soils exposed when the first erosive autumn rains occur.
Marcelo Sternberg, Shir Greenberg, Felicia Orah Rein, Roey Egozi, Ofer Cohen   +4 more
wiley   +1 more source

From detection to action: artificial intelligence in integrated pest and invasive plant management. [PDF]

Adv Biotechnol (Singap)
Li Y, Zha L, Liu W, Luo F, Xu C.
europepmc   +1 more source

Explainable, Uncertainty‐Aware Machine Learning for Maize Land Suitability and Climate Resilience in Lorestan Province, Western Iran

Land Degradation &Development, EarlyView.
ABSTRACT Maize (Zea mays L.) is strategically important in Iran, yet its cultivation in the semi‐arid Zagros is constrained by limited and variable water, heat stress and heterogeneous soils, while conventional suitability assessments are deterministic, rarely validated spatially and provide no measure of confidence.
Ahad Madani, Narges Shafaei Bajestani
wiley   +1 more source

Assessing Biodiversity in Agricultural Landscapes Through Drone-Based Environmental DNA Sampling. [PDF]

Ecol Evol
Albouy C, Humbert L, Niedermeier K, Chautem M, Fopp F, Luthi M, Thurnheer S, Marques V, Kirchgeorg S, Geckeler C, Nasrallah A, Mintchev S, Pellissier L.   +12 more
europepmc   +1 more source