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Remote sensing in field crop monitoring: A comprehensive review of sensor systems, data analyses and recent advances
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 …
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
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 …
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
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 …
agricultural productivity. In the conventional technique, human experts in the field of …
Hybrid CNN & Random Forest Model for Effective Turmeric Leaf Disease Diagnosis
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 …
agriculture and crop health management. Turmeric, a major agricultural commodity, is …
Machine learning for leaf disease classification: data, techniques and applications
The growing demand for sustainable development brings a series of information
technologies to help agriculture production. Especially, the emergence of machine learning …
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 …
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
Agriculture has undergone a remarkable transformation, transitioning from traditional
methods that were used for centuries to technology-driven practices. The advent of image …
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
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 …
Therefore, the timely detection of these diseases is crucial for facilitating early treatment …
A systematic review of deep learning techniques for plant diseases
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 …
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
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 …
of a country. Each year farmers face numerous challenges in producing good quality crops …