Goal Programming Advanced Yield Model by Artificial Intelligence and R Programming

A nation’s economic and social progress is strongly influenced by its agricultural sector. Crop distribution, crop combination, and operational activities for crop production are critical decisions that must be made in order to get the best farm outputs. The goal of this work is to develop an optima...

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Veröffentlicht in:SN computer science Jg. 5; H. 7; S. 899
Hauptverfasser: Shalini, K., Polasi, Sridevi, Kuntal, Ravinder Singh, Vishwanatha, S., Patil, Vishal
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Singapore Springer Nature Singapore 01.10.2024
Springer Nature B.V
Schlagworte:
Advances in Computational Approaches for Image Processing
Agricultural production
Agriculture
Artificial intelligence
Cloud Applications and Network Security
Computer Imaging
Computer Science
Computer Systems Organization and Communication Networks
Corn
Costs
Cotton
Crop production
Crops
Data Structures and Information Theory
Farmers
Farms
Fertilizers
Goal programming
Information Systems and Communication Service
Linear programming
Machinery
Multiple criteria decision making
Original Research
Pattern Recognition and Graphics
Planning
Software Engineering/Programming and Operating Systems
Vision
Wheat
Wireless Networks
NetProfit
Crop plan
Crop production
Goal programming
R programming
ISSN:2661-8907, 2662-995X, 2661-8907
Online-Zugang:Volltext
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Zusammenfassung:A nation’s economic and social progress is strongly influenced by its agricultural sector. Crop distribution, crop combination, and operational activities for crop production are critical decisions that must be made in order to get the best farm outputs. The goal of this work is to develop an optimal crop design using goal programming formulation aimed at achieving higher returns for farmers compared to their current net returns. In this work, LINGO 19.0 and R programming were employed to analyze the data. The same result is shown by both programming models. The result shows that allocating 103.3 acres of land to paddy and wheat gives an income of Rs. 44,79,860 which increases the net profit by 32.8% more than the current farmers’ plan. Similarly, other optimal plan increases the net profit from 5.49 to 20.18%.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2661-8907
2662-995X
2661-8907
DOI:10.1007/s42979-024-03246-w