Autonomous vehicles and intelligent automation: Applications, challenges, and opportunities

G Bathla, K Bhadane, RK Singh… - Mobile Information …, 2022 - Wiley Online Library
Intelligent Automation (IA) in automobiles combines robotic process automation and artificial
intelligence, allowing digital transformation in autonomous vehicles. IA can completely …

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 …

Plant disease detection and classification techniques: a comparative study of the performances

WB Demilie - Journal of Big Data, 2024 - Springer
One of the essential components of human civilization is agriculture. It helps the economy in
addition to supplying food. Plant leaves or crops are vulnerable to different diseases during …

[HTML][HTML] Smart agriculture applications using deep learning technologies: A survey

M Altalak, M Ammad uddin, A Alajmi, A Rizg - Applied Sciences, 2022 - mdpi.com
Agriculture is considered an important field with a significant economic impact in several
countries. Due to the substantial population growth, meeting people's dietary needs has …

Artificial intelligence in food safety: A decade review and bibliometric analysis

Z Liu, S Wang, Y Zhang, Y Feng, J Liu, H Zhu - Foods, 2023 - mdpi.com
Artificial Intelligence (AI) technologies have been powerful solutions used to improve food
yield, quality, and nutrition, increase safety and traceability while decreasing resource …

A survey on deep learning and its impact on agriculture: challenges and opportunities

M Albahar - Agriculture, 2023 - mdpi.com
The objective of this study was to provide a comprehensive overview of the recent
advancements in the use of deep learning (DL) in the agricultural sector. The author …

[HTML][HTML] DeepRice: A deep learning and deep feature based classification of Rice leaf disease subtypes

PI Ritharson, K Raimond, XA Mary, JE Robert… - Artificial Intelligence in …, 2024 - Elsevier
Rice stands as a crucial staple food globally, with its enduring sustainability hinging on the
prompt detection of rice leaf diseases. Hence, efficiently detecting diseases when they have …

Recent advances in plant disease severity assessment using convolutional neural networks

T Shi, Y Liu, X Zheng, K Hu, H Huang, H Liu… - Scientific Reports, 2023 - nature.com
In modern agricultural production, the severity of diseases is an important factor that directly
affects the yield and quality of plants. In order to effectively monitor and control the entire …

[HTML][HTML] Smart strawberry farming using edge computing and IoT

M Cruz, S Mafra, E Teixeira, F Figueiredo - Sensors, 2022 - mdpi.com
Strawberries are sensitive fruits that are afflicted by various pests and diseases. Therefore,
there is an intense use of agrochemicals and pesticides during production. Due to their …

Detection and identification of plant leaf diseases using YOLOv4

EA Aldakheel, M Zakariah, AH Alabdalall - Frontiers in Plant Science, 2024 - frontiersin.org
Detecting plant leaf diseases accurately and promptly is essential for reducing economic
consequences and maximizing crop yield. However, farmers' dependence on conventional …