A systematic review of current trends in artificial intelligence for smart farming to enhance crop yield
Current technology has been widely applied for development, one of which has an Artificial
Intelligence (AI) applied to Smart Farming. AI can give special capabilities to be …
Intelligence (AI) applied to Smart Farming. AI can give special capabilities to be …
[HTML][HTML] A real-time application-based convolutional neural network approach for tomato leaf disease classification
Early diagnosis and treatment of tomato leaf diseases increase a plant's production volume,
efficiency, and quality. Misdiagnosis of disease by farmers can lead to an inadequate …
efficiency, and quality. Misdiagnosis of disease by farmers can lead to an inadequate …
[HTML][HTML] Deep learning-based multi-spectral identification of grey mould
N Giakoumoglou, EM Pechlivani, A Sakelliou… - Smart Agricultural …, 2023 - Elsevier
Early detection of economically important plant diseases, such as grey mould caused by
Botrytis cinerea, is of major importance for the timely application of disease management …
Botrytis cinerea, is of major importance for the timely application of disease management …
Smart Farming Using Robots in IoT to Increase Agriculture Yields: A Systematic Literature Review
MH Widianto, B Juarto - Journal of Robotics and Control (JRC), 2023 - journal.umy.ac.id
Robots are beneficial in everyday life, especially in helping food security in the agricultural
industry. Smart farming alone is not enough because smart farming is only automated …
industry. Smart farming alone is not enough because smart farming is only automated …
Lightweight improved yolov5 model for cucumber leaf disease and pest detection based on deep learning
Many diseases and pests affect cucumber leaves as they grow. A lack of prompt control may
result in reduced yields or crop failure. Early and correct detection of cucumber leaf diseases …
result in reduced yields or crop failure. Early and correct detection of cucumber leaf diseases …
[HTML][HTML] Optimized crop disease identification in Bangladesh: A deep learning and SVM hybrid model for rice, potato, and corn
Agriculture plays a vital role in Bangladesh's economy. It is essential to ensure the proper
growth and health of crops for the development of the agricultural sector. In the context of …
growth and health of crops for the development of the agricultural sector. In the context of …
Automatic leaf diseases detection and classification of cucumber leaves using internet of things and machine learning models
Automation of agriculture with the use of cutting-edge technology is a growing research
area. It addresses the issue of better yields and tries to mitigate the negative impact due to …
area. It addresses the issue of better yields and tries to mitigate the negative impact due to …
[PDF][PDF] Tumor-Net: convolutional neural network modeling for classifying brain tumors from MRI images.
The unnatural growth of brain tissue or cells is referred to as a brain tumor [1]-[4]. When
malignancy grows in the head, the weighted interior of the brain expands, causing damage …
malignancy grows in the head, the weighted interior of the brain expands, causing damage …
Fruit and vegetable leaf disease recognition based on a novel custom convolutional neural network and shallow classifier
Fruits and vegetables are among the most nutrient-dense cash crops worldwide. Diagnosing
diseases in fruits and vegetables is a key challenge in maintaining agricultural products …
diseases in fruits and vegetables is a key challenge in maintaining agricultural products …
Enhanced Leafy Vegetable Analysis: Image Classification and Disease Instance Segmentation Using Deep Learning Techniques
A Islam, SRS Raisa, NH Khan - Available at SSRN 4470131, 2023 - papers.ssrn.com
Bangladesh's economy is heavily dependent on agriculture, making the region an
exceedingly crucial sector that requires great vigilance. In comparison to other vegetables …
exceedingly crucial sector that requires great vigilance. In comparison to other vegetables …