Remote sensing in field crop monitoring: A comprehensive review of sensor systems, data analyses and recent advances

E Omia, H Bae, E Park, MS Kim, I Baek, I Kabenge… - Remote Sensing, 2023 - mdpi.com
The key elements that underpin food security require the adaptation of agricultural systems
to support productivity increases while minimizing inputs and the adverse effects of climate …

Deep learning for plant identification and disease classification from leaf images: multi-prediction approaches

J Yao, SN Tran, S Garg, S Sawyer - ACM Computing Surveys, 2024 - dl.acm.org
Deep learning (DL) plays an important role in modern agriculture, especially in plant
pathology using leaf images where convolutional neural networks (CNN) are attracting a lot …

Artificial intelligence in tomato leaf disease detection: a comprehensive review and discussion

R Thangaraj, S Anandamurugan, P Pandiyan… - Journal of Plant …, 2022 - Springer
Accurate and fast tomato plant disease identification is significant to enhance its sustainable
agricultural productivity. In the conventional technique, human experts in the field of …

Hybrid CNN & Random Forest Model for Effective Turmeric Leaf Disease Diagnosis

D Banerjee, V Kukreja, D Bordoloi… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
This study dives into the classification of turmeric leaf diseases to enhance the field of
agriculture and crop health management. Turmeric, a major agricultural commodity, is …

Machine learning for leaf disease classification: data, techniques and applications

J Yao, SN Tran, S Sawyer, S Garg - Artificial Intelligence Review, 2023 - Springer
The growing demand for sustainable development brings a series of information
technologies to help agriculture production. Especially, the emergence of machine learning …

Plant leaf disease classification and damage detection system using deep learning models

B Sai Reddy, S Neeraja - Multimedia tools and applications, 2022 - Springer
Agriculture is the primary source of livelihood for about 70% of the rural population in India.
The crop variety cultivated in India is very diverse. There are more than 500 crop varieties …

Computer vision for plant disease recognition: a comprehensive review

M Dang, H Wang, Y Li, TH Nguyen, L Tightiz… - The Botanical …, 2024 - Springer
Agriculture has undergone a remarkable transformation, transitioning from traditional
methods that were used for centuries to technology-driven practices. The advent of image …

PD-TR: End-to-end plant diseases detection using a transformer

H Wang, TH Nguyen, TN Nguyen, M Dang - Computers and Electronics in …, 2024 - Elsevier
Plant diseases have a significant impact on both the quantity and quality of crop yields.
Therefore, the timely detection of these diseases is crucial for facilitating early treatment …

A systematic review of deep learning techniques for plant diseases

I Pacal, I Kunduracioglu, MH Alma, M Deveci… - Artificial Intelligence …, 2024 - Springer
Agriculture is one of the most crucial sectors, meeting the fundamental food needs of
humanity. Plant diseases increase food economic and food security concerns for countries …

CROPCARE: an intelligent real-time sustainable IoT system for crop disease detection using mobile vision

G Garg, S Gupta, P Mishra, A Vidyarthi… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Agriculture is an important sector that plays an essential role in the economic development
of a country. Each year farmers face numerous challenges in producing good quality crops …