Machine learning in agriculture: A comprehensive updated review
The digital transformation of agriculture has evolved various aspects of management into
artificial intelligent systems for the sake of making value from the ever-increasing data …
artificial intelligent systems for the sake of making value from the ever-increasing data …
[HTML][HTML] Implementation of drone technology for farm monitoring & pesticide spraying: A review
The world receives more than 200 thousand people in a day and it is expected that the total
world population will reach 9.6 billion by the year 2050. This will result in extra food demand …
world population will reach 9.6 billion by the year 2050. This will result in extra food demand …
[HTML][HTML] Comparison of CNN-based deep learning architectures for rice diseases classification
MT Ahad, Y Li, B Song, T Bhuiyan - Artificial Intelligence in Agriculture, 2023 - Elsevier
Although convolutional neural network (CNN) paradigms have expanded to transfer
learning and ensemble models from original individual CNN architectures, few studies have …
learning and ensemble models from original individual CNN architectures, few studies have …
Review on convolutional neural network (CNN) applied to plant leaf disease classification
J Lu, L Tan, H Jiang - Agriculture, 2021 - mdpi.com
Crop production can be greatly reduced due to various diseases, which seriously endangers
food security. Thus, detecting plant diseases accurately is necessary and urgent. Traditional …
food security. Thus, detecting plant diseases accurately is necessary and urgent. Traditional …
Plant leaf disease classification using EfficientNet deep learning model
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 …
that an experienced plant pathologist diagnoses the disease through optical observation of …
Identification of plant-leaf diseases using CNN and transfer-learning approach
The timely identification and early prevention of crop diseases are essential for improving
production. In this paper, deep convolutional-neural-network (CNN) models are …
production. In this paper, deep convolutional-neural-network (CNN) models are …
Performance of deep learning vs machine learning in plant leaf disease detection
Plants are recognized as essential as they are the primary source of humanity's energy
production since they are having nutritious, medicinal, etc. values. At any time between crop …
production since they are having nutritious, medicinal, etc. values. At any time between crop …
Technological revolutions in smart farming: Current trends, challenges & future directions
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 …
of “Zero Hunger”. Consequently, farmers have optimized the agricultural activities in a …
A novel framework for potato leaf disease detection using an efficient deep learning model
Potato disease management plays a valuable role in the agriculture field as it might cause a
significant loss in crops production. Therefore, timely recognition and classification of potato …
significant loss in crops production. Therefore, timely recognition and classification of potato …
Trends in vision-based machine learning techniques for plant disease identification: A systematic review
Globally, all the major crops are significantly affected by diseases every year, as manual
inspection across diverse fields is time-consuming, tedious, and requires expert knowledge …
inspection across diverse fields is time-consuming, tedious, and requires expert knowledge …