# Greenhouse Technology and Climate Control

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/greenhouse-technology-and-climate-control/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on the dynamic modeling and simulation of plant architecture, growth, and environmental control in greenhouses. It covers topics such as functional–structural plant modelling, computational fluid dynamics for greenhouse climate control, virtual plants, solar energy utilization in greenhouses, crop photosynthesis, L-systems modeling for plant architecture, microclimate simulation, and the use of renewable energy in agriculture. |
| Domain | Life Sciences |
| Field | Agricultural and Biological Sciences |
| OpenAlex ID | t12093 |
| Works | 71 |

## Topic papers all

Showing 15 of 71.

- [Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification](https://scholariq.org/papers/deep-neural-networks-based-recognition-of-plant-diseases-by-leaf-image/)
- [Deep learning based multi-temporal crop classification](https://scholariq.org/papers/deep-learning-based-multi-temporal-crop-classification/)
- [Detection and analysis of wheat spikes using Convolutional Neural Networks](https://scholariq.org/papers/detection-and-analysis-of-wheat-spikes-using-convolutional-neural-networks/)
- [Automatic Detection of Citrus Fruit and Leaves Diseases Using Deep Neural Network Model](https://scholariq.org/papers/automatic-detection-of-citrus-fruit-and-leaves-diseases-using-deep-neural/)
- [Greenhouse Monitoring with Wireless Sensor Network](https://scholariq.org/papers/greenhouse-monitoring-with-wireless-sensor-network/)
- [Artificial neural networks for automated year-round temperature prediction](https://scholariq.org/papers/artificial-neural-networks-for-automated-year-round-temperature-prediction/)
- [On precisely relating the growth of Phalaenopsis leaves to greenhouse environmental factors by using an IoT-based monitoring system](https://scholariq.org/papers/on-precisely-relating-the-growth-of-phalaenopsis-leaves-to-greenhouse/)
- [Observation and simulation of dew in rural and urban environments](https://scholariq.org/papers/observation-and-simulation-of-dew-in-rural-and-urban-environments/)
- [SpikeSegNet-a deep learning approach utilizing encoder-decoder network with hourglass for spike segmentation and counting in wheat plant from visual imaging](https://scholariq.org/papers/spikesegnet-a-deep-learning-approach-utilizing-encoder-decoder-network-with/)
- [Growth monitoring of greenhouse lettuce based on a convolutional neural network](https://scholariq.org/papers/growth-monitoring-of-greenhouse-lettuce-based-on-a-convolutional-neural-network/)
- [A Federated Learning CNN Approach for Tomato Leaf Disease with Severity Analysis](https://scholariq.org/papers/a-federated-learning-cnn-approach-for-tomato-leaf-disease-with-severity-analysis/)
- [Tomato plant disease classification using Multilevel Feature Fusion with adaptive channel spatial and pixel attention mechanism](https://scholariq.org/papers/tomato-plant-disease-classification-using-multilevel-feature-fusion-with/)
- [Application of convolutional neural networks for evaluation of disease severity in tomato plant](https://scholariq.org/papers/application-of-convolutional-neural-networks-for-evaluation-of-disease-severity/)
- [Plant disease classification using deep learning](https://scholariq.org/papers/plant-disease-classification-using-deep-learning/)
- [Real building implementation of a deep reinforcement learning controller to enhance energy efficiency and indoor temperature control](https://scholariq.org/papers/real-building-implementation-of-a-deep-reinforcement-learning-controller-to/)

## Topic primary papers

- [Greenhouse Monitoring with Wireless Sensor Network](https://scholariq.org/papers/greenhouse-monitoring-with-wireless-sensor-network/)
- [Energy consumption for different greenhouse constructions](https://scholariq.org/papers/energy-consumption-for-different-greenhouse-constructions/)
- [IoT based Farming Techniques in Indoor Environment: A Brief Survey](https://scholariq.org/papers/iot-based-farming-techniques-in-indoor-environment-a-brief-survey/)
- [Quantitative Perturbation Analysis of Plant Factory LED Heat Dissipation on Crop Microclimate](https://scholariq.org/papers/quantitative-perturbation-analysis-of-plant-factory-led-heat-dissipation-on-crop/)
- [Sustainable Development Optimization of a Plant Factory for Reducing Tip Burn Disease](https://scholariq.org/papers/sustainable-development-optimization-of-a-plant-factory-for-reducing-tip-burn/)
- [A Deep Learning-Based Approach to Strawberry Grasping Using a Telescopic-Link Differential Drive Mobile Robot in ROS-Gazebo for Greenhouse Digital Twin Environments](https://scholariq.org/papers/a-deep-learning-based-approach-to-strawberry-grasping-using-a-telescopic-link/)
- [Robust Deep Convolutional Solutions for Identifying Biotic Crop Stress in Wild Environments](https://scholariq.org/papers/robust-deep-convolutional-solutions-for-identifying-biotic-crop-stress-in-wild/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.