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 …

[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 …

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 …

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 …

Machine Learning Based Palm Farming: Harvesting and Disease Identification

SZ Khan, S Dhou, AR Al-Ali - IEEE Access, 2024 - ieeexplore.ieee.org
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 …

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 …

Palm Tree Diseases Detection Using Deep Learning: A Short Review

R Bouthaina, R Khaled, K Okba… - 2024 8th International …, 2024 - ieeexplore.ieee.org
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 …

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 …

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 …

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 …