A deep learning model for predicting risks of crop pests and diseases from sequential environmental data
S Lee, CM Yun - Plant Methods, 2023 - Springer
Crop pests reduce productivity, so managing them through early detection and prevention is
essential. Data from various modalities are being used to predict crop diseases by applying …
essential. Data from various modalities are being used to predict crop diseases by applying …
Automatic monitoring of lettuce fresh weight by multi-modal fusion based deep learning
Fresh weight is a widely used growth indicator for quantifying crop growth. Traditional fresh
weight measurement methods are time-consuming, laborious, and destructive. Non …
weight measurement methods are time-consuming, laborious, and destructive. Non …
Data-driven decision support scheme for multi-area light environment control in greenhouse
X Chen, Z Jiang, J Yang, J Ren, Y Rao… - … and Electronics in …, 2023 - Elsevier
The environmental parameters of greenhouses are coupled with each other and the spatial
distribution is uneven, which makes the control of greenhouse complex. Light is a key factor …
distribution is uneven, which makes the control of greenhouse complex. Light is a key factor …
Estimating hydroponic lettuce phenotypic parameters for efficient resource allocation
Crop growth monitoring is pivotal in optimizing management strategies and maximizing
greenhouse production. Traditionally, crop monitoring is carried out manually, which makes …
greenhouse production. Traditionally, crop monitoring is carried out manually, which makes …
Design and Implementation of Artificial Intelligence of Things for Tea (Camellia sinensis L.) Grown in a Plant Factory
CL Chang, CC Huang, HW Chen - Agronomy, 2022 - mdpi.com
An innovative plant growth monitoring and environmental control platform is designed and
implemented in this study. In addition to using multi-band artificial light sources for plant …
implemented in this study. In addition to using multi-band artificial light sources for plant …
Advancing vertical farming with automation for sustainable food production
S Asseng, S Eichelsbacher - at-Automatisierungstechnik, 2024 - degruyter.com
The increasing global population, combined with the impacts of climate change,
underscores the urgent need for novel food production systems. Conventional field-based …
underscores the urgent need for novel food production systems. Conventional field-based …
Digital Twin Framework for Optimizing Crop Growth and Management in Controlled Environment Agriculture
Rapid population growth, urbanization, depleting resources, and ongoing climate change
are intensifying food and nutrition security challenges. Controlled Environment Agriculture …
are intensifying food and nutrition security challenges. Controlled Environment Agriculture …