A critical review on prospects of bio-refinery products from second and third generation biomasses
Humans from the very beginning of existence utilized natural resources for various daily
needs. As years have gone by and with the continuous rise in population, both the natural …
needs. As years have gone by and with the continuous rise in population, both the natural …
How does the Internet of Things (IoT) help in microalgae biorefinery?
Microalgae biorefinery is a platform for the conversion of microalgal biomass into a variety of
value-added products, such as biofuels, bio-based chemicals, biomaterials, and bioactive …
value-added products, such as biofuels, bio-based chemicals, biomaterials, and bioactive …
Artificial intelligence-enabled soft sensor and internet of things for sustainable agriculture using ensemble deep learning architecture
IoT (Internet of things) and Artificial Intelligence (AI), as well as other advanced computing
technologies, have long been used in agriculture. AI-enabled sensors function as smart …
technologies, have long been used in agriculture. AI-enabled sensors function as smart …
Contemporary and futuristic intelligent technologies for rice leaf disease detection
Rice also called Oryza sativa is the world's third most widely consumed granule, with about
50% of the people in the world consuming it as a fasten food. Rice cultivation was favored …
50% of the people in the world consuming it as a fasten food. Rice cultivation was favored …
A comprehensive systematic and bibliometric review of the IoT-based healthcare systems
W Bovenizer, P Chetthamrongchai - Cluster Computing, 2023 - Springer
In the healthcare sector, the growth in technology has had a huge effect. Besides, when
introduced to the world of healthcare, the Internet of Things (IoT) will simplify the transition by …
introduced to the world of healthcare, the Internet of Things (IoT) will simplify the transition by …
SE_SPnet: Rice leaf disease prediction using stacked parallel convolutional neural network with squeeze‐and‐excitation
Rice is one of the significant crops, and the early identification and prevention of its diseases
are essential to ensure adequate and healthy availability to the world's growing population …
are essential to ensure adequate and healthy availability to the world's growing population …
A lightweight recognition method for rice growth period based on improved YOLOv5s
K Liu, J Wang, K Zhang, M Chen, H Zhao, J Liao - Sensors, 2023 - mdpi.com
The identification of the growth and development period of rice is of great significance to
achieve high-yield and high-quality rice. However, the acquisition of rice growth period …
achieve high-yield and high-quality rice. However, the acquisition of rice growth period …
Automatic identification algorithm of the rice tiller period based on PCA and SVM
Y Zhang, D Xiao, Y Liu - IEEE Access, 2021 - ieeexplore.ieee.org
The tillering period of rice is the crucial phenological period for the cultivation of high-quality
and high-yield rice. Currently, human inspection is mainly used for identification, but it is time …
and high-yield rice. Currently, human inspection is mainly used for identification, but it is time …
RiPa-Net: recognition of rice paddy diseases with duo-layers of CNNs fostered by feature transformation and selection
O Attallah - Biomimetics, 2023 - mdpi.com
Rice paddy diseases significantly reduce the quantity and quality of crops, so it is essential
to recognize them quickly and accurately for prevention and control. Deep learning (DL) …
to recognize them quickly and accurately for prevention and control. Deep learning (DL) …
Bibliometric Analysis of IoT Lightweight Cryptography
In the rapidly developing world of the Internet of Things (IoT), data security has become
increasingly important since massive personal data are collected. IoT devices have resource …
increasingly important since massive personal data are collected. IoT devices have resource …