A simple-to-use nomogram for reference evapotranspiration assessment using multivariate models: Study on outdoor and greenhouse environments
Sign Up to like & getrecommendations! Published in 2021 at "Environmental Technology and Innovation"
DOI: 10.1016/j.eti.2021.101421
Abstract: Abstract Experimental methods of reference evapotranspiration (ET0) calculation require extensive environmental data, not readily attainable everywhere. Therefore, two multivariate models using Levenberg–Marquardt nonlinear least-squares algorithm were developed in this research to estimate daily ET0 by… read more here.
Keywords: greenhouse environments; outdoor greenhouse; multivariate models; reference evapotranspiration ... See more keywords
Impact of Nutrient Limitation on Nezara viridula Development: Validation of a Stage‐Structured Degree‐Day Model in Outdoor and Greenhouse Environments Using Citizen Science Data
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Applied Entomology"
DOI: 10.1111/jen.13464
Abstract: Nezara viridula (L.) (Hemiptera: Pentatomidae) is a significant pest affecting crops in both outdoor and greenhouse environments. To improve pest management strategies, we validated and compared two degree‐day models predicting N. viridula development using citizen… read more here.
Keywords: greenhouse environments; model; citizen science; development ... See more keywords
SWMD-YOLO: A Lightweight Model for Tomato Detection in Greenhouse Environments
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DOI: 10.3390/agronomy15071593
Abstract: The accurate detection of occluded tomatoes in complex greenhouse environments remains challenging due to the limited feature representation ability and high computational costs of existing models. This study proposes SWMD-YOLO, a lightweight multi-scale detection network… read more here.
Keywords: detection; yolo lightweight; swmd yolo; greenhouse environments ... See more keywords
AFBF-YOLO: An Improved YOLO11n Algorithm for Detecting Bunch and Maturity of Cherry Tomatoes in Greenhouse Environments
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DOI: 10.3390/plants14162587
Abstract: Accurate detection of cherry tomato clusters and their ripeness stages is critical for the development of intelligent harvesting systems in modern agriculture. In response to the challenges posed by occlusion, overlapping clusters, and subtle ripeness… read more here.
Keywords: cherry; greenhouse environments; ripeness stages; afbf yolo ... See more keywords