Towards leveraging the role of machine learning and artificial intelligence in precision agriculture and smart farming
The digitalization of data has resulted in a data tsunami in practically every industry of data-
driven enterprise. Furthermore, man-to-machine (M2M) digital data handling has …
driven enterprise. Furthermore, man-to-machine (M2M) digital data handling has …
Machine learning for smart agriculture and precision farming: towards making the fields talk
In almost every sector, data-driven business, the digitization of the data has generated a
data tsunami. In addition, man-to-machine digital data handling has magnified the …
data tsunami. In addition, man-to-machine digital data handling has magnified the …
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 …
A novel chaotic Runge Kutta optimization algorithm for solving constrained engineering problems
This study proposes a novel hybrid metaheuristic optimization algorithm named chaotic
Runge Kutta optimization (CRUN). In this study, 10 diverse chaotic maps are being …
Runge Kutta optimization (CRUN). In this study, 10 diverse chaotic maps are being …
Application of bio and nature-inspired algorithms in agricultural engineering
The article reviewed the four major Bioinspired intelligent algorithms for agricultural
applications, namely ecological, swarm-intelligence-based, ecology-based, and multi …
applications, namely ecological, swarm-intelligence-based, ecology-based, and multi …
Modified-improved fitness dependent optimizer for complex and engineering problems
Fitness dependent optimizer (FDO) is considered one of the novel swarm intelligent
algorithms. Recently, FDO has been enhanced several times to improve its capability. One …
algorithms. Recently, FDO has been enhanced several times to improve its capability. One …
A comprehensive review of bio-inspired optimization algorithms including applications in microelectronics and nanophotonics
The application of artificial intelligence in everyday life is becoming all-pervasive and
unavoidable. Within that vast field, a special place belongs to biomimetic/bio-inspired …
unavoidable. Within that vast field, a special place belongs to biomimetic/bio-inspired …
Optimization of skewed data using sampling-based preprocessing approach
In the past few years, classification has undergone some major evolution. With a constant
surge of the amount of data gathered from different sources, efficient processing and …
surge of the amount of data gathered from different sources, efficient processing and …
Study and analysis of classification techniques for specific plant growths
R Sharma, R Vashisth, N Sindhwani - Advances in Signal Processing …, 2023 - Springer
There are various methods often regard to done for analysis of the subject of a particular
group of specimen. There may be more or fewer, but by using classification techniques with …
group of specimen. There may be more or fewer, but by using classification techniques with …
Classification of Maize leaf diseases from healthy leaves using Deep Forest
J Arora, U Agrawal - Journal of Artificial Intelligence and Systems, 2020 - iecscience.org
Apart from being relied upon for feeding the entire world, the agricultural sector is also
responsible for a third of the global Gross-Domestic-Product (GDP). Additionally, a majority …
responsible for a third of the global Gross-Domestic-Product (GDP). Additionally, a majority …