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 …

Automatic monitoring of lettuce fresh weight by multi-modal fusion based deep learning

Z Lin, R Fu, G Ren, R Zhong, Y Ying, T Lin - Frontiers in Plant Science, 2022 - frontiersin.org
Fresh weight is a widely used growth indicator for quantifying crop growth. Traditional fresh
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 …

Estimating hydroponic lettuce phenotypic parameters for efficient resource allocation

MO Ojo, A Zahid, JG Masabni - Computers and Electronics in Agriculture, 2024 - Elsevier
Crop growth monitoring is pivotal in optimizing management strategies and maximizing
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 …

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 …

Digital Twin Framework for Optimizing Crop Growth and Management in Controlled Environment Agriculture

A Zahid, MO Ojo - Available at SSRN 4860822 - papers.ssrn.com
Rapid population growth, urbanization, depleting resources, and ongoing climate change
are intensifying food and nutrition security challenges. Controlled Environment Agriculture …