专题：Greenhouse Technology and Climate Control

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.
最新文献
近5年高被引文献
Classifying Crop Leaf Diseases using Different Deep Learning Models with Transfer Learning

article Full Text OpenAlex 960 FWCI428.6656

Impact of climate change on agricultural production; Issues, challenges, and opportunities in Asia

article Full Text OpenAlex 416 FWCI121.6497

A review of deep learning techniques used in agriculture

article Full Text OpenAlex 323 FWCI91.3785

A Review on Hydroponics and the Technologies Associated for Medium- and Small-Scale Operations

article Full Text OpenAlex 316 FWCI56.8047

Deep learning-based segmentation and classification of leaf images for detection of tomato plant disease

article Full Text OpenAlex 262 FWCI43.6067

Agricultural plant diseases identification: From traditional approach to deep learning

article Full Text OpenAlex 252 FWCI71.4663

A comprehensive review of synthetic data generation in smart farming by using variational autoencoder and generative adversarial network

article Full Text OpenAlex 251 FWCI110.1338

Applications of IoT for optimized greenhouse environment and resources management

article Full Text OpenAlex 233 FWCI39.7096

Convolutional Neural Networks in Detection of Plant Leaf Diseases: A Review

article Full Text OpenAlex 227 FWCI35.3791

The Role of Digital Agriculture in Mitigating Climate Change and Ensuring Food Security: An Overview

article Full Text OpenAlex 227 FWCI64.4666