Technological revolutions in smart farming: Current trends, challenges & future directions

V Sharma, AK Tripathi, H Mittal - Computers and Electronics in Agriculture, 2022 - Elsevier
With increasing population, the demand for agricultural productivity is rising to meet the goal
of “Zero Hunger”. Consequently, farmers have optimized the agricultural activities in a …

[HTML][HTML] Plant disease detection and classification by deep learning

MH Saleem, J Potgieter, KM Arif - Plants, 2019 - mdpi.com
Plant diseases affect the growth of their respective species, therefore their early identification
is very important. Many Machine Learning (ML) models have been employed for the …

Plant leaf disease classification using EfficientNet deep learning model

Ü Atila, M Uçar, K Akyol, E Uçar - Ecological Informatics, 2021 - Elsevier
Most plant diseases show visible symptoms, and the technique which is accepted today is
that an experienced plant pathologist diagnoses the disease through optical observation of …

Agricultural plant diseases identification: From traditional approach to deep learning

J Kotwal, R Kashyap, S Pathan - Materials Today: Proceedings, 2023 - Elsevier
Plant disease computerization in agriculture areas an important for every country, as the
population rate increases the demand for food supply also increases. Today, the significant …

[HTML][HTML] Recent advances in image processing techniques for automated leaf pest and disease recognition–A review

LC Ngugi, M Abelwahab, M Abo-Zahhad - Information processing in …, 2021 - Elsevier
Fast and accurate plant disease detection is critical to increasing agricultural productivity in
a sustainable way. Traditionally, human experts have been relied upon to diagnose …

Plant diseases recognition on images using convolutional neural networks: A systematic review

A Abade, PA Ferreira, F de Barros Vidal - Computers and Electronics in …, 2021 - Elsevier
Plant diseases are considered one of the main factors influencing food production and
minimize losses in production, and it is essential that crop diseases have fast detection and …

[HTML][HTML] Automatic identification and monitoring of plant diseases using unmanned aerial vehicles: A review

K Neupane, F Baysal-Gurel - Remote Sensing, 2021 - mdpi.com
Disease diagnosis is one of the major tasks for increasing food production in agriculture.
Although precision agriculture (PA) takes less time and provides a more precise application …

A review on machine learning classification techniques for plant disease detection

U Shruthi, V Nagaveni… - 2019 5th International …, 2019 - ieeexplore.ieee.org
In India, Agriculture plays an essential role because of the rapid growth of population and
increased in demand for food. Therefore, it needs to increase in crop yield. One major effect …

PlantDiseaseNet: Convolutional neural network ensemble for plant disease and pest detection

M Turkoglu, B Yanikoğlu, D Hanbay - Signal, Image and Video Processing, 2022 - Springer
Plant diseases and pests cause significant losses in agriculture, with economic, ecological
and social implications. Therefore, early detection of plant diseases and pests via automated …

Classification of olive leaf diseases using deep convolutional neural networks

S Uğuz, N Uysal - Neural computing and applications, 2021 - Springer
In recent years, there have been significant achievements in object classification with
various techniques using several deep learning architectures. These architectures are now …