Modelling daily plant growth response to environmental conditions in Chinese solar greenhouse using Bayesian neural network

Article Computer Science, Artificial Intelligence

Hands-On Bayesian Neural Networks-A Tutorial for Deep Learning Users

Laurent Valentin Jospin et al.

Summary: This tutorial provides an overview and complete toolset for deep learning practitioners to design, implement, train, use, and evaluate Bayesian neural networks.

IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE (2022)

Add to Collection

Review Thermodynamics

Review on occupancy detection and prediction in building simulation

Yan Ding et al.

Summary: The study focuses on the deviation of energy simulation results for buildings from actual consumption, attributing it mainly to inaccurate estimation of occupancy. Improving the accuracy level of occupancy prediction can notably reduce the error between reality and prediction. Despite various studies on occupancy, differences in detection, prediction, and validation methods still exist.

BUILDING SIMULATION (2022)

Add to Collection

Article Agronomy

Comparative Assessment of Hydroponic Lettuce Production Either under Artificial Lighting, or in a Mediterranean Greenhouse during Wintertime

Orfeas Voutsinos et al.

Summary: The study found that butterhead lettuce grown under high light intensity had the highest plant biomass, while those under low light intensity and in the greenhouse had similar biomass. However, plants under low light intensity had abnormal shapes and were unsuitable for sale. The research highlighted the significant impact of light intensity on photosynthetic performance in plants.

AGRICULTURE-BASEL (2021)

Add to Collection

Article Plant Sciences

Minimizing VPD Fluctuations Maintains Higher Stomatal Conductance and Photosynthesis, Resulting in Improvement of Plant Growth in Lettuce

Takayasu Inoue et al.

Summary: Moderate VPD fluctuation maintains plant growth and photosynthesis efficiency, while drastic VPD fluctuation causes a decrease in stomatal conductance and CO2 assimilation rate. Fine regulation of VPD is crucial for better plant growth by maintaining photosynthetic performance.

FRONTIERS IN PLANT SCIENCE (2021)

Add to Collection

Article Chemistry, Analytical

Deep Learning Based Prediction on Greenhouse Crop Yield Combined TCN and RNN

Liyun Gong et al.

Summary: Accurate prediction of crop yield in greenhouses is crucial for informed management and financial decision-making. The combination of state-of-the-art networks for temporal sequence processing has shown improved prediction performance compared to traditional machine learning methods and other deep neural networks. Historical yield information is identified as the most important factor for accurate forecasting of future crop yields.

SENSORS (2021)

Add to Collection

Article Green & Sustainable Science & Technology

Artificial Intelligence in the Industry 4.0, and Its Impact on Poverty, Innovation, Infrastructure Development, and the Sustainable Development Goals: Lessons from Emerging Economies?

David Mhlanga

Summary: Artificial intelligence is proving to be a valuable tool in achieving Sustainable Development Goals, especially in poverty reduction, improving infrastructure reliability, and enabling economic growth in emerging economies.

SUSTAINABILITY (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

Enhanced fuzzy finite state machine for human activity modelling and recognition

Gadelhag Mohmed et al.

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2020)

Add to Collection

Article Agronomy

Modeling the Dynamic Response of Plant Growth to Root Zone Temperature in Hydroponic Chili Pepper Plant Using Neural Networks

Galih Kusuma Aji et al.

AGRICULTURE-BASEL (2020)

Add to Collection

Review Computer Science, Artificial Intelligence

Bayesian networks for supply chain risk, resilience and ripple effect analysis: A literature review

Seyedmohsen Hosseini et al.

EXPERT SYSTEMS WITH APPLICATIONS (2020)

Add to Collection

Proceedings Paper Agronomy

Tomato yield prediction in a semi-closed greenhouse

R. Salazar et al.

XXIX INTERNATIONAL HORTICULTURAL CONGRESS ON HORTICULTURE: SUSTAINING LIVES, LIVELIHOODS AND LANDSCAPES (IHC2014): INTERNATIONAL SYMPOSIUM ON INNOVATION AND NEW TECHNOLOGIES IN PROTECTED CROPPING (2015)

Add to Collection

Article Energy & Fuels