[HTML][HTML] Feature engineering to identify plant diseases using image processing and artificial intelligence: a comprehensive review
Plant diseases can significantly reduce crop yield and product quality. Visual inspections of
plants by human observers for disease identification are time-consuming, costly, and prone …
plants by human observers for disease identification are time-consuming, costly, and prone …
Hybrid improved capuchin search algorithm for plant image thresholding
S Li, Z Li, Q Li, M Zhang, L Li - Frontiers in plant science, 2023 - frontiersin.org
With the development and wider application of meta-heuristic optimization algorithms,
researchers increasingly apply them to threshold optimization of multi-level image …
researchers increasingly apply them to threshold optimization of multi-level image …
Estimation of coconut maturity based on fuzzy neural network and sperm whale optimization
E El-Shafeiy, AA Abohany, WM Elmessery… - Neural Computing and …, 2023 - Springer
Coconut water is the clear liquid found inside coconuts, famous for rehydrating after exercise
or while suffering from a minor sickness. The essential issue tackled in this paper is how to …
or while suffering from a minor sickness. The essential issue tackled in this paper is how to …
An ensemble transfer learning-based deep convolution neural network for the detection and classification of diseased cotton leaves and plants
Agriculture is important for the economy of any country, and India is considered to be an
agricultural country. One of the primary goals of agriculture is to produce disease-free crops …
agricultural country. One of the primary goals of agriculture is to produce disease-free crops …
Enhancing Red Palm Weevil Detection Using Bird Swarm Algorithm With Deep Learning Model
In recent times, mostly in the Middle East region, Red Palm Weevils (RPW) are one of the
most dangerous pests of palm trees worldwide. The RPW causes significant harm to several …
most dangerous pests of palm trees worldwide. The RPW causes significant harm to several …
Early Detection of Ripeness for the Picking of Xanthoceras Sorbifolium Using Feature Excitation-Based Broad Learning System
Z Dan, L Zuchen, C Liying, L Tieshan, G Liru - IEEE Access, 2023 - ieeexplore.ieee.org
The seed oil of Xanthoceras sorbifolium is a new kind of vegetable oil which is beneficial to
the body. However, during the ripening process, if not picked properly, resulting in seed …
the body. However, during the ripening process, if not picked properly, resulting in seed …
A smart approach to coconut leaf spot disease classification using computer vision and deep learning technique
SK Brar, R Sharma, S Vats… - 2023 World Conference …, 2023 - ieeexplore.ieee.org
Coconut leaf spot (CLS) disease is a major threat to coconut production and can cause
severe economic losses. In this study, we propose a deep learning (DL)-based ResNext50 …
severe economic losses. In this study, we propose a deep learning (DL)-based ResNext50 …
[PDF][PDF] Deep learning in tropical leaf disease detection: advantages and applications
Z Yao, M Huang - Tropical Plants, 2024 - maxapress.com
This paper delves into the realm of artificial intelligence, where an array of deep learning
techniques has proven effective in automating crop leaf disease identification and …
techniques has proven effective in automating crop leaf disease identification and …
Deep Learning Approach to Identify Pests in Coconut Trees
RK Megalingam, K Aryan, A Gopika… - … for Innovation in …, 2024 - ieeexplore.ieee.org
Many nations depend heavily on the production of coconut trees, and early detection of
pests can help preserve crop yields. It takes a lot of time and effort to find pests in coconut …
pests can help preserve crop yields. It takes a lot of time and effort to find pests in coconut …
Smart Cyber-Physical System-Based Plant Disease Detection for Agriculture
R Karthickmanoj, SA Nandhini, T Sasilatha… - … in Agricultural Cyber …, 2023 - igi-global.com
Agriculture cyber-physical systems are becoming increasingly significant in improving crop
quality and output while employing the least amount of farmland possible. Many agricultural …
quality and output while employing the least amount of farmland possible. Many agricultural …