A Review of Applications of Linear Programming to Optimize Agricultural Solutions

Alotaibi, Alanoud; Nadeem, Farrukh

doi:10.5815/ijieeb.2021.02.02

Cited by 16 publications

(10 citation statements)

References 29 publications

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“…In a review article, Alanoud et. all [4] speci cally highlights the linear programming model's use in optimising agricultural solutions. Bozena Piech et.…”

Section: Introductionmentioning

confidence: 99%

WITHDRAWN: Optimizing Agricultural Sustainability: A Comparative Analysis of Crop Plans through Goal Programming and R Programming

Polasi,

Shalini

2024

Preprint

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This study employs Goal Programming and R programming to compare and optimize various crop plans, aiming to enhance agricultural sustainability. The analysis considers multiple objectives, such as maximizing yield, minimizing resource usage, and promoting environmental conservation. The research utilizes mathematical modelling and computational techniques to evaluate and rank different crop plans, providing insights into their overall efficiency and ecological impact. In Uttara Kannada district, the study was conducted. In this study, both LINGO 19.0 and R programming were used to analyze the data, and both programming models yielded identical results.

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“…In a review article, Alanoud et. all [4] speci cally highlights the linear programming model's use in optimising agricultural solutions. Bozena Piech et.…”

Section: Introductionmentioning

confidence: 99%

WITHDRAWN: Optimizing Agricultural Sustainability: A Comparative Analysis of Crop Plans through Goal Programming and R Programming

Polasi,

Shalini

2024

Preprint

View full text Add to dashboard Cite

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“…It gives an insight into the practical aspect of Linear Programing methods and their scope. (13) This study also focuses more on increasing farmers' profitability and making decisions accordingly. However, the challenge faced here was addressing the multi goals problems that were difficult to analyze using a Simplex algorithm, besides resource allocation and decision-making.…”

Section: Linear Programmingmentioning

confidence: 99%

A Study on Application of Linear Programming on Product Mix for Profit Maximization and Cost Optimization

Chanda¹,

Pabalkar²,

Gupta³

2022

IJST

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Objectives: This research aims to sneak into the retailer's perception about that customer segment and plan a product mix accordingly. The focus is on small players in small towns not having deep pockets to synergize the product mix decisions effectively. Methods: The data used in this research paper is from Hatchers, a medium-sized enterprise with zero budget for software for product mix decisions. The data was collected through face-to-face interviews with ten representatives and five supervisors in compliance with the existing documents and existing datasheet obtained from the production department, which was slightly updated to make the final output. The data was for one season, i.e., April to March. The data was analyzed to study pre-Linear Programming and post-Linear Programing profits. Findings: This examination distinguishes the current asset usage level and the benefit of every period of one of the apparel producing organizations, utilizing a linear programming procedure. Actual consumption of resources (product wise) was calculated to evaluate profit post applying Linear Programing to see the wastage and cost. There was a 54% increase post LP compared to the product-wise resource utilization. Similarly, the profit using Linear programming was more than double as wastage and costing were minimum, and revenue was high. Novelty: The article focused on the simple basic principle of linear programming for identifying product mix using Excel(Solver). LINGO. The software solutions become costlier for small firms, whereas Excel is more accessible and cost-efficient. There is a gap in existing literature as previous research has not focused on this aspect for small business houses where adapting software solutions is challenging.

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“…T. Chang et al meant to assemble a powerful situating and following technique under Ad-Hoc arrange, to upgrade the exactness with GPS or remunerate the sign while missing GPS circumstance. The exploration applied various RSSI signals with a novel scientific calculation and α-β-γ channel to build up an efficient casing, to find and track the moving hub in a dependable range [31][32][33]. Table 4 shows the summary of IoT based approaches that are used in agriculture field with their challenges and some solutions for improvement in this study.…”

Section: Existing Work Related To Iot In Agriculturementioning

confidence: 99%

A Comprehensive Study with Challenges of Internet of Things (IoT) based Model for Smart Farming

Rana¹,

Verma²,

Gautam³

2022

IJEME

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In most developing countries, the majority of the population heavily rely on agriculture for their livelihood. The yield of agriculture is heavily dependent on uncertain weather conditions like monsoon, soil fertility, availability of irrigation facilities and fertilizers as well as support from Govt. The main challenge in this study if the agricultural yield which is quite less compared to the effort put in due to inefficient agricultural implements and lack of knowledge on the other hand. It is therefore essential for the farmers to improve their harvest yield by acquisition of related data such as soil condition, temperature, humidity, availability of irrigation facilities, availability of manure etc and adopt smart farming techniques using modern agricultural equipment. A trend has started amongst the farmers to shift from traditional conventional farming to smart farming using the Internet of Things (IoT) technology, which can help improve yield with reduced effort at economic cost. The main focus of this paper is to present work related to these technologies in the agriculture field. This also presented their challenges & benefits related to smart farming. For improving the system, IoT will interact with other useful systems like Wireless Sensor Networks. It can help for understanding the job of data by using IoT and correspondence advancements in horticulture division. This will help to motivate and educate the unskilled farmers to comprehend the best bits of knowledge given by the huge information investigation utilizing smart technology and also provide data analysis in terms of temperature, humidity that can help farmers to reduce computation time. It will also help to identify water utilization in prior.

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A Review of Applications of Linear Programming to Optimize Agricultural Solutions

Cited by 16 publications

References 29 publications

WITHDRAWN: Optimizing Agricultural Sustainability: A Comparative Analysis of Crop Plans through Goal Programming and R Programming

WITHDRAWN: Optimizing Agricultural Sustainability: A Comparative Analysis of Crop Plans through Goal Programming and R Programming

A Study on Application of Linear Programming on Product Mix for Profit Maximization and Cost Optimization

A Comprehensive Study with Challenges of Internet of Things (IoT) based Model for Smart Farming

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