Plant Disease Diagnosis with Artificial Intelligence (AI)

The identification and control of potato leaf diseases pose considerable difficulties for worldwide agriculture, affecting both the quality and yield of crops. Addressing this issue, we investigate the efficacy of the lightweight YOLOv8 variants, namely YOLOv8n, YOLOv8s and YOLOv8m, for the automated detection and classification of different potato leaf states. These conditions are categorised into three types: healthy, early blight disease and late blight disease. Our findings show that YOLOv8n achieves a mean average precision (mAP) of 94.2%, YOLOv8s achieves a mAP of 93.4%, and YOLOv8m achieves a mAP of 94%. Building on these results, we propose a novel weighted ensembling technique based on the confidence score (WECS) to combine the predictions of these YOLOv8 variants. The WECS technique efficiently leverages the advantages of each YOLOv8 variant by assigning weights based on the confidence scores of individual model predictions. These weighted forecasts are then combined to produce a final ensemble prediction for each sample. Achieving 99.9% precision and 89.6% recall, the WECS method attains a global mean Average Precision (mAP) of 96.3%, showcasing its robustness in real‐world applications.

show abstract

Nanotechnology for Soil Remediation and Land Restoration

Majeed,

Noor,

Rasool

et al. 2024

Advances in Environmental Engineering and Green Technologies

View full text Add to dashboard Cite

Nanotechnological techniques are promising to standard spectroscopy methods as they are more durable, sensitive, targeted, and affordable. Nanotechnology has shown significant new promising approaches for efficient nutrient management to ensure sustainable agriculture. The combined approach of nanotechnology and phytotechnology called “nano-phytoremediation” is used to reduce toxic environments and restore these degraded resources. Nanotechnology also has a significant impact on nutrient uptake in precision agriculture. It's an eco-friendly and cost-effective method for managing and cleaning up soil conditions. Nanoremediation employs nanomaterials to enhance adsorption and sequestration of pollutants and has emerged as a cutting-edge approach with promising in situ and ex situ applications. Applications based on nanotechnology are easy to use, inexpensive, and suggest improved remediation and treatment techniques that could significantly lower soil contamination.

show abstract

Plant Disease Diagnosis with Artificial Intelligence (AI)

Cited by 8 publications

References 50 publications

Global Distribution, Identification, Pathogenesis, and Advanced Management Strategies for Sclerotium Root Rot in Sugar beet

Global Distribution, Identification, Pathogenesis, and Advanced Management Strategies for Sclerotium Root Rot in Sugar beet

Potato Leaf Disease Detection and Classification With Weighted Ensembling of YOLOv8 Variants

Nanotechnology for Soil Remediation and Land Restoration

Contact Info

Product

Resources

About