Deep learning for precision agriculture: A bibliometric analysis
S Coulibaly, B Kamsu-Foguem, D Kamissoko… - Intelligent Systems with …, 2022 - Elsevier
Recent advances in communication technologies with the emergence of connected objects
have changed the agricultural area. In this new digital age, the development of artificial …
have changed the agricultural area. In this new digital age, the development of artificial …
Detection of apple plant diseases using leaf images through convolutional neural network
VK Vishnoi, K Kumar, B Kumar, S Mohan… - IEEE Access, 2022 - ieeexplore.ieee.org
Plant diseases are a severe cause of crop losses in the agriculture globally. Detection of
diseases in plants is difficult and challenging due to the lack of expert knowledge. Deep …
diseases in plants is difficult and challenging due to the lack of expert knowledge. Deep …
Elicitation of fruit fungi infection and its protective response to improve the postharvest quality of fruits
Fruit diseases brought on by fungus infestation leads to postharvest losses of fresh fruit.
Approximately 30% of harvested fruits do not reach consumers' plates due to postharvest …
Approximately 30% of harvested fruits do not reach consumers' plates due to postharvest …
A novel text2IMG mechanism of credit card fraud detection: A deep learning approach
A Alharbi, M Alshammari, OD Okon, A Alabrah… - Electronics, 2022 - mdpi.com
Online sales and purchases are increasing daily, and they generally involve credit card
transactions. This not only provides convenience to the end-user but also increases the …
transactions. This not only provides convenience to the end-user but also increases the …
PlaNet: a robust deep convolutional neural network model for plant leaves disease recognition
Researchers are looking for new ideas that can greatly increase the amount of food grown
while also cutting costs. For precision agriculture to work, pests, weeds, and diseases must …
while also cutting costs. For precision agriculture to work, pests, weeds, and diseases must …
Palm tree disease detection and classification using residual network and transfer learning of inception ResNet
M Ahmed, A Ahmed - Plos one, 2023 - journals.plos.org
Agriculture has become an essential field of study and is considered a challenge for many
researchers in computer vision specialization. The early detection and classification of plant …
researchers in computer vision specialization. The early detection and classification of plant …
Gld-det: Guava leaf disease detection in real-time using lightweight deep learning approach based on mobilenet
The guava plant is widely cultivated in various regions of the Sub-Continent and Asian
countries, including Bangladesh, due to its adaptability to different soil conditions and …
countries, including Bangladesh, due to its adaptability to different soil conditions and …
Machine learning and deep learning for plant disease classification and detection
Precision agriculture is a rapidly developing field aimed at addressing current concerns
about agricultural sustainability. Machine learning is the cutting edge technology …
about agricultural sustainability. Machine learning is the cutting edge technology …
[HTML][HTML] Object-Detection from Multi-View remote sensing Images: A case study of fruit and flower detection and counting on a central Florida strawberry farm
Object detection in remote sensing images is one of the most critical computer vision tasks
for various earth observation applications. Previous studies applied object detection models …
for various earth observation applications. Previous studies applied object detection models …
Gulf countries' citizens' acceptance of COVID-19 vaccines—A machine learning approach
The COVID-19 pandemic created a global emergency in many sectors. The spread of the
disease can be subdued through timely vaccination. The COVID-19 vaccination process in …
disease can be subdued through timely vaccination. The COVID-19 vaccination process in …