Palm tree disease detection and classification using residual network and transfer learning of inception ResNet
M Ahmed, A Ahmed - Plos one, 2023 - journals.plos.org
Agriculture has become an essential field of study and is considered a challenge for many
researchers in computer vision specialization. The early detection and classification of plant …
researchers in computer vision specialization. The early detection and classification of plant …
[HTML][HTML] Machine Learning and Deep Learning for Crop Disease Diagnosis: Performance Analysis and Review
HN Ngugi, AA Akinyelu, AE Ezugwu - Agronomy, 2024 - mdpi.com
Crop diseases pose a significant threat to global food security, with both economic and
environmental consequences. Early and accurate detection is essential for timely …
environmental consequences. Early and accurate detection is essential for timely …
Evaluating Different Deep Learning Approaches for Tree Health Classification Using High-Resolution Multispectral UAV Data in the Black Forest, Harz Region, and …
J Anwander, M Brandmeier, S Paczkowski, T Neubert… - Remote Sensing, 2024 - mdpi.com
We present an evaluation of different deep learning and machine learning approaches for
tree health classification in the Black Forest, the Harz Mountains, and the Göttinger Forest on …
tree health classification in the Black Forest, the Harz Mountains, and the Göttinger Forest on …
Using the New YoLo Models in Detecting Small-Sized Objects in the Case of Rice Grains on Branche
K Nguyen Quoc, A Nguyen Quynh, H Tran Ngoc… - … Conference on Data …, 2023 - Springer
Identifying a small-sized object is of interest to many studies, especially the rice grain on the
branch. Due to its significance to the evaluation of the grain quality. In identifying rice seeds …
branch. Due to its significance to the evaluation of the grain quality. In identifying rice seeds …
Machine Learning Based Palm Farming: Harvesting and Disease Identification
In the culturally and economically vital date palm sector of the Arab world, precise
assessment of fruit maturity, type, and disease is crucial for optimizing yield, quality, and …
assessment of fruit maturity, type, and disease is crucial for optimizing yield, quality, and …
Application of deep ensemble learning for palm disease detection in smart agriculture
S Savaş - Heliyon, 2024 - cell.com
Agriculture has notably become one of the fields experiencing intensive digital
transformation. Leveraging state-of-the-art techniques in this domain has provided …
transformation. Leveraging state-of-the-art techniques in this domain has provided …
Palm Tree Diseases Detection Using Deep Learning: A Short Review
Agriculture is a sector that represents a real indicator of the country's development, and it is
a sector that affects national security. The palm tree is a significant, affordable, and nutrient …
a sector that affects national security. The palm tree is a significant, affordable, and nutrient …
Enhancing unmanned aerial vehicle and smart grid communication security using a ConvLSTM model for intrusion detection
R Alharthi - Frontiers in Energy Research, 2024 - frontiersin.org
The emergence of small-drone technology has revolutionized the way we use drones. Small
drones leverage the Internet of Things (IoT) to deliver location-based navigation services …
drones leverage the Internet of Things (IoT) to deliver location-based navigation services …
Sound Classification for Non-Destructive Diagnosis of Basal Stem Rot Disease based on Stem Density in Oil Palm Trunks
C Augsornthip, P Neranon… - Journal of …, 2024 - semarakilmu.com.my
Oil palm trees play a crucial role in the economies of Southeast Asian countries, providing
palm oil that is essential for various products and consumption. However, the Basal Stem …
palm oil that is essential for various products and consumption. However, the Basal Stem …
A dubas detection approach for date palms using convolutional neural networks
AM AL-Mahmood, HI Shahadi… - AIP Conference …, 2024 - pubs.aip.org
The Dubas bug (Db) is a deadly pest that affects palm and agricultural crops; however, early
automatic identification of frond diseases of this type can thus help reduce human effort and …
automatic identification of frond diseases of this type can thus help reduce human effort and …