Mobile computing for pest and disease management using spectral signature analysis: A review

NN Che'Ya, NA Mohidem, NA Roslin, M Saberioon… - Agronomy, 2022 - mdpi.com
The demand for mobile applications in agriculture is increasing as smartphones are
continuously developed and used for many purposes; one of them is managing pests and …

RETRACTED ARTICLE: Deep learning-based automated disease detection and classification model for precision agriculture

A Pavithra, G Kalpana, T Vigneswaran - Soft Computing, 2024 - Springer
Plant phenoty** and Precision agriculture are information-and technology-oriented fields
with specific challenges and demands for the detection and diagnosis of plant disease …
ME Andrada, D Russell, T Arevalo-Ramirez, W Kuang… - Forests, 2023 - mdpi.com
This paper presents a comprehensive forest map** system using a customized drone
payload equipped with Light Detection and Ranging (LiDAR), cameras, a Global Navigation …

A smartphone-based detection system for tomato leaf disease using efficientNetV2B2 and its explainability with artificial intelligence (AI)

A Debnath, MM Hasan, M Raihan, N Samrat… - Sensors, 2023 - mdpi.com
The occurrence of tomato diseases has substantially reduced agricultural output and
financial losses. The timely detection of diseases is crucial to effectively manage and …

Plant Disease Detection and Segmentation using End-to-End YOLOv8: A Comprehensive Approach

SAA Qadri, NF Huang, TM Wani… - 2023 IEEE 13th …, 2023 - ieeexplore.ieee.org
Preventing and managing plant leaf diseases requires a dependable and precise detection
method. Detecting leaf diseases in plants is a time-consuming process that has a negative …

[PDF][PDF] A machine learning model for the diagnosis of coffee diseases

F Martinez, H Montiel… - International Journal of …, 2022 - pdfs.semanticscholar.org
The growing and marketing of coffee is an important source of economic resources for many
countries, especially those with economies dependent on agricultural production, as is the …

A novel hybrid CNN methodology for automated leaf disease detection and classification

P Kaur, AM Mishra, N Goyal, SK Gupta… - Expert …, 2024 - Wiley Online Library
Plant leaf diseases are challenging to categorize due to the complexity of the pattern
variations and the high degrees of inter‐class similarity. Plant ailments harm food quality …