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Published Paper Details:
Design and Development of Evaluation Algorithm for Agriculture
Authors
Mr.shubham kumar,Dr.Tarun k Sharma,Dr. varun bansal,Dr.Shivani
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Keywords
Evolutionary Algorithms, Agriculture, Hybrid Algorithms, Optimization, Agri-Informatics.
Abstract
The agricultural sector faces numerous challenges, including optimizing crop yield, managing resources efficiently, and detecting diseases early. Traditional methods often fall short in addressing these complex issues due to their static nature and limited adaptability. Evolutionary algorithms (EAs) offer a promising solution due to their population-based search mechanisms, self-adaptation capabilities, and robustness in handling complex optimization problems. This research focuses on the design and development of a hybrid evolutionary algorithm tailored specifically for agricultural applications. The primary objectives include improving crop yield predictions, enhancing disease detection mechanisms, and optimizing resource management. The study integrates various evolutionary computation techniques, including genetic algorithms, ant colony optimization, and particle swarm optimization, to create a robust hybrid model. The methodology involves generating an initial population of potential solutions, evaluating their fitness, selecting the best individuals, and using crossover and mutation to produce new generations. The developed algorithm is tested using benchmark functions and applied to real-world agricultural problems. The results demonstrate significant improvements in prediction accuracy and resource optimization. This paper also reviews existing literature on the application of EAs in agriculture, discusses the software tools used for algorithm development, and highlights the potential applications and related techniques in the agricultural domain. Future research will focus on refining the algorithm and exploring its applicability in broader agricultural contexts to enhance sustainability and productivity.
IJCRT's Publication Details
Unique Identification Number - IJCRT2408287
Paper ID - 267281
Author type - Indian Author
Page Number(s) - c631-c641
Pubished in - Volume 12 | Issue 8 | August 2024
DOI (Digital Object Identifier) -
No Of Downloads - 146
Author Country - India, 247341, Saharanpur, Saharanpur, 247341, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
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Mr.shubham kumar,Dr.Tarun k Sharma,Dr. varun bansal,Dr.Shivani, "Design and Development of Evaluation Algorithm for Agriculture", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 8, pp.c631-c641, August 2024, Available at :http://www.ijcrt.org/papers/IJCRT2408287.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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