Plant image recognition with deep learning: A review
Y Chen, Y Huang, Z Zhang, Z Wang, B Liu, C Liu… - … and Electronics in …, 2023 - Elsevier
Significant advances in the field of digital image processing have been achieved in recent
years using deep learning, which has significantly exceeded previous methods. Deep …
years using deep learning, which has significantly exceeded previous methods. Deep …
A review on UAV-based applications for plant disease detection and monitoring
Remote sensing technology is vital for precision agriculture, aiding in early issue detection,
resource management, and environmentally friendly practices. Recent advances in remote …
resource management, and environmentally friendly practices. Recent advances in remote …
Artificial intelligence and internet of things based healthcare 4.0 monitoring system
Artificial Intelligence (AI) is widely implemented in healthcare 4.0 for producing early and
accurate results. The early predictions of disease help doctors to make early decisions to …
accurate results. The early predictions of disease help doctors to make early decisions to …
Task offloading in fog computing for using smart ant colony optimization
A Kishor, C Chakarbarty - Wireless personal communications, 2022 - Springer
In the current scenario, Cloud computing is providing services to IoT-sensor based
applications in task offloading. In time-sensitive real-time applications, latency is a major …
applications in task offloading. In time-sensitive real-time applications, latency is a major …
Development of image recognition software based on artificial intelligence algorithm for the efficient sorting of apple fruit
Manual sorting of fruits was considered as a significant challenging for agricultural sector as
it is a laborious task and may also lead to inconsistency in the classification. In order to …
it is a laborious task and may also lead to inconsistency in the classification. In order to …
Lightweight inception networks for the recognition and detection of rice plant diseases
Deep learning is a hot research topic in image processing and computer vision. It has been
employed in many fields owing to the excellent performance. However, so far, deep learning …
employed in many fields owing to the excellent performance. However, so far, deep learning …
DLMC-Net: Deeper lightweight multi-class classification model for plant leaf disease detection
Plant-leaf disease detection is one of the key problems of smart agriculture which has a
significant impact on the global economy. To mitigate this, intelligent agricultural solutions …
significant impact on the global economy. To mitigate this, intelligent agricultural solutions …
CHHP: coverage optimization and hole healing protocol using sleep and wake-up concept for wireless sensor network
The sensor network facilitates easy monitoring in hazardous environments like forests war
fields, etc. The wireless sensor network comprises several sensor nodes (SN) to observe …
fields, etc. The wireless sensor network comprises several sensor nodes (SN) to observe …
Artificial intelligence-based drone system for multiclass plant disease detection using an improved efficient convolutional neural network
The role of agricultural development is very important in the economy of a country. However,
the occurrence of several plant diseases is a major hindrance to the growth rate and quality …
the occurrence of several plant diseases is a major hindrance to the growth rate and quality …
DCNet: DenseNet-77-based CornerNet model for the tomato plant leaf disease detection and classification
Early recognition of tomato plant leaf diseases is mandatory to improve the food yield and
save agriculturalists from costly spray procedures. The correct and timely identification of …
save agriculturalists from costly spray procedures. The correct and timely identification of …