Leaf disease detection using machine learning and deep learning: Review and challenges

C Sarkar, D Gupta, U Gupta, BB Hazarika - Applied Soft Computing, 2023 - Elsevier
Identification of leaf disorder plays an important role in the economic prosperity of any
country. Many parts of a plant can be infected by a virus, fungal, bacteria, and other …

A systematic review of different categories of plant disease detection using deep learning-based approaches

Y Kumar, R Singh, MR Moudgil, Kamini - Archives of Computational …, 2023 - Springer
Artificial intelligence has a significant impact on all sectors. It is revolutionizing agriculture by
replacing traditional methods with more efficient techniques and helping the world improve …

[HTML][HTML] PLDPNet: End-to-end hybrid deep learning framework for potato leaf disease prediction

F Arshad, M Mateen, S Hayat, M Wardah… - Alexandria Engineering …, 2023 - Elsevier
Agricultural productivity plays a vital role in global economic development and growth. When
crops are affected by diseases, it adversely impacts a nation's economic resources and …

[HTML][HTML] Advanced deep learning techniques for early disease prediction in cauliflower plants

GP Kanna, SJKJ Kumar, Y Kumar, A Changela… - Scientific Reports, 2023 - nature.com
Agriculture plays a pivotal role in the economies of developing countries by providing
livelihoods, sustenance, and employment opportunities in rural areas. However, crop …

[HTML][HTML] A robust framework for object detection in a traffic surveillance system

MJ Akhtar, R Mahum, FS Butt, R Amin… - Electronics, 2022 - mdpi.com
Object recognition is the technique of specifying the location of various objects in images or
videos. There exist numerous algorithms for the recognition of objects such as R-CNN, Fast …

[HTML][HTML] Potato blight detection using fine-tuned CNN architecture

MH Al-Adhaileh, A Verma, THH Aldhyani, D Koundal - Mathematics, 2023 - mdpi.com
Potato is one of the major cultivated crops and provides occupations and livelihoods for
numerous people across the globe. It also contributes to the economic growth of developing …

Model selection of hybrid feature fusion for coffee leaf disease classification

M Faisal, JS Leu, JT Darmawan - IEEE Access, 2023 - ieeexplore.ieee.org
Coffee leaf diseases can significantly impact the productivity and quality of the crops.
Accurate and timely identification of these diseases is crucial for effective management and …

[HTML][HTML] Revolutionizing agriculture with artificial intelligence: plant disease detection methods, applications, and their limitations

A Jafar, N Bibi, RA Naqvi, A Sadeghi-Niaraki… - Frontiers in Plant …, 2024 - frontiersin.org
Accurate and rapid plant disease detection is critical for enhancing long-term agricultural
yield. Disease infection poses the most significant challenge in crop production, potentially …

[HTML][HTML] Skin lesion detection using hand-crafted and DL-based features fusion and LSTM

R Mahum, S Aladhadh - Diagnostics, 2022 - mdpi.com
The abnormal growth of cells in the skin causes two types of tumor: benign and malignant.
Various methods, such as imaging and biopsies, are used by oncologists to assess the …

[HTML][HTML] Construction of deep learning-based disease detection model in plants

M Jung, JS Song, AY Shin, B Choi, S Go, SY Kwon… - Scientific reports, 2023 - nature.com
Accurately detecting disease occurrences of crops in early stage is essential for quality and
yield of crops through the decision of an appropriate treatments. However, detection of …