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[HTML][HTML] Precision chemical weed management strategies: A review and a design of a new CNN-based modular spot sprayer
A Allmendinger, M Spaeth, M Saile, GG Peteinatos… - Agronomy, 2022 - mdpi.com
Site-specific weed control offers a great potential for herbicide savings in agricultural crops
without causing yield losses and additional weed management costs in the following years …
without causing yield losses and additional weed management costs in the following years …
[PDF][PDF] Evaluating the effectiveness of YOLO models in different sized object detection and feature-based classification of small objects
The YOLO tool has been increasingly developed to assist in object classification. However,
the problem of object classification has many difficulties, including small objects …
the problem of object classification has many difficulties, including small objects …
Pre-trained deep neural network-based features selection supported machine learning for rice leaf disease classification
Rice is a staple food for roughly half of the world's population. Some farmers prefer rice
cultivation to other crops because rice can thrive in a wide range of environments. Several …
cultivation to other crops because rice can thrive in a wide range of environments. Several …
[PDF][PDF] Pneumonia detection using CNN through chest X-ray
In general, pneumonia affects children under 5 years and adults over 65 years of age which
targets the lungs and fills the alveoli (air sacs) with liquid. In this paper, we employ …
targets the lungs and fills the alveoli (air sacs) with liquid. In this paper, we employ …
Rice Disease Detection Using Artificial Intelligence and Machine Learning Techniques to Improvise Agro‐Business
Agro‐business is highly dependent on rice quality and its protection from diseases. There
are several prerequisites for the procedures and the strategies that are productive and …
are several prerequisites for the procedures and the strategies that are productive and …
Performance analysis of rice plant diseases identification and classification methodology
Technological help can be used for improving the cultivation of critical crops for optimal
production and quality. Automatic plant disease detection is an interesting study issue as it …
production and quality. Automatic plant disease detection is an interesting study issue as it …
SVM, CNN and VGG16 classifiers of artificial intelligence used for the detection of diseases of rice crop: a review
A Verma - Sentimental Analysis and Deep Learning: Proceedings …, 2022 - Springer
The production of grains plays a vital role for the economy of any country. Smart methods
are required that accurately helps to increase the efficiency of the grain production. The use …
are required that accurately helps to increase the efficiency of the grain production. The use …
Application of machine learning in industry 4.0
The fourth industrial revolution, Industry 4.0, is concerned with the ongoing changes and
advances in the way of manufacturing and processes involved for the production of goods …
advances in the way of manufacturing and processes involved for the production of goods …
Classification system for prediction of chronic kidney disease using data mining techniques
Chronic kidney disease leads to the dysfunctioning of kidneys where it is unable to regulate
and filter minerals from the blood. To help the medical experts, this paper shows the …
and filter minerals from the blood. To help the medical experts, this paper shows the …
Juxtaposing inference capabilities of deep neural models over posteroanterior chest radiographs facilitating COVID-19 detection
Abstract Severe Acute Respiratory Syndrome Corona Virus 2 or SARS-CoV-2 (COVID-19)
has affected 21 million people worldwide and is responsible for 0.75 million deaths (as of …
has affected 21 million people worldwide and is responsible for 0.75 million deaths (as of …