[HTML][HTML] Developments in image processing using deep learning and reinforcement learning
J Valente, J António, C Mora, S Jardim - Journal of Imaging, 2023 - mdpi.com
The growth in the volume of data generated, consumed, and stored, which is estimated to
exceed 180 zettabytes in 2025, represents a major challenge both for organizations and for …
exceed 180 zettabytes in 2025, represents a major challenge both for organizations and for …
A novel multi-head CNN design to identify plant diseases using the fusion of RGB images
Y Kaya, E Gürsoy - Ecological Informatics, 2023 - Elsevier
Plant diseases and insect pests cause a significant threat to agricultural production. Early
detection and diagnosis of these diseases are critical and can reduce economic losses. The …
detection and diagnosis of these diseases are critical and can reduce economic losses. The …
Deep learning-based segmentation for disease identification
O Mzoughi, I Yahiaoui - Ecological Informatics, 2023 - Elsevier
Plant diseases have recently increased and exacerbated due to several factors such as
climate change, chemicals' misuse and pollution. They represent a severe threat for both …
climate change, chemicals' misuse and pollution. They represent a severe threat for both …
Vision transformer meets convolutional neural network for plant disease classification
PS Thakur, S Chaturvedi, P Khanna, T Sheorey… - Ecological …, 2023 - Elsevier
Plant diseases are the primary cause of crop losses globally, which have an impact on the
world economy. To deal with these issues, new agriculture solutions are evolving that …
world economy. To deal with these issues, new agriculture solutions are evolving that …
[HTML][HTML] Image patch-based deep learning approach for crop and weed recognition
ASMM Hasan, D Diepeveen, H Laga, MGK Jones… - Ecological …, 2023 - Elsevier
Accurate classification of weed species in crop plants plays a crucial role in precision
agriculture by enabling targeted treatment. Recent studies show that artificial intelligence …
agriculture by enabling targeted treatment. Recent studies show that artificial intelligence …
[HTML][HTML] WildARe-YOLO: A lightweight and efficient wild animal recognition model
SR Bakana, Y Zhang, B Twala - Ecological Informatics, 2024 - Elsevier
For the protection of endangered species and successful wildlife population monitoring, wild
animal recognition is essential. While deep learning models like YOLOv5 have shown …
animal recognition is essential. While deep learning models like YOLOv5 have shown …
[HTML][HTML] An enhanced approach for leaf disease identification and classification using deep learning techniques
A Umamageswari, S Deepa, K Raja - Measurement: Sensors, 2022 - Elsevier
Agriculture isn't just a profession for public yet in adding up a method of life. Most Customs
and Cultures in the World spin around Agriculture. Advanced agriculture can possibly make …
and Cultures in the World spin around Agriculture. Advanced agriculture can possibly make …
Hyperparameter-tuned batch-updated stochastic gradient descent: Plant species identification by using hybrid deep learning
D Barhate, S Pathak, AK Dubey - Ecological Informatics, 2023 - Elsevier
The accurate identification of plant species is crucial for the conservation of biodiversity.
However, traditional methods for identifying plant species are often complicated, time …
However, traditional methods for identifying plant species are often complicated, time …
An explainable AI approach to agrotechnical monitoring and crop diseases prediction in Dnipro region of Ukraine
I Laktionov, G Diachenko, D Rutkowska… - Journal of Artificial …, 2023 - sciendo.com
The proliferation of computer-oriented and information digitalisation technologies has
become a hallmark across various sectors in today's rapidly evolving environment. Among …
become a hallmark across various sectors in today's rapidly evolving environment. Among …
Biodiversity estimation by environment drivers using machine/deep learning for ecological management
GJ Chang - Ecological informatics, 2023 - Elsevier
Biodiversity is a crucial indicator of the health and resilience of ecosystems. Accurate
estimation and prediction of biodiversity can support effective ecological management …
estimation and prediction of biodiversity can support effective ecological management …