Crop price prediction using supervised machine learning algorithms

Dhanapal, R.; AjanRaj, A.; Balavinayagapragathish, S.; Balaji, J. Jothi

doi:10.1088/1742-6596/1916/1/012042

Cited by 20 publications

(6 citation statements)

References 2 publications

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“…Supervised machine learning algorithm is implemented to analyse the price for the most recent data and evaluate the price for the next 12 months. [11].…”

Section: Related Workmentioning

confidence: 99%

“…To make an intuitive choice before harvesting, evaluation and price estimation of crops are extremely important. By speculating the price of a crop helps in minimizing the risk of loss and balancing the price fluctuations [11]. This model mainly focuses on the technical facet; To help the farmers plan for crops for the next season by predicting the price metric, to grow crops that will yield a good harvest and to reduce economic losses for farmers.…”

Section: Introductionmentioning

confidence: 99%

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Crop Gen Forecast

Niharika¹

2022

IJRASET

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Primary source of Indian livelihood is Agriculture. It has become a strenuous task for the farmers to plan the crops for the next season as it is a critical prediction about the prices that their harvest might yield in that particular season that will be based on driving weather conditions. This in turn results in imprecise prediction of crop prices by farmers which leads in choosing the fallacious crops or in quickly sell their yield resulting in low revenue. The same crop would have gained more value in the future. This paper mainly aims at addressing these issues by using Machine learning algorithms where the input is given through the sensors as live data and the result is displayed on a webpage. The webpage consists of a recommendation engine and the price prediction data of each crop in that particular region.

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“…Supervised machine learning algorithm is implemented to analyse the price for the most recent data and evaluate the price for the next 12 months. [11].…”

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Crop Gen Forecast

Niharika¹

2022

IJRASET

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“…Quite half the land is employed for agriculture to fulfill the wants of the population of the region. To fulfill the wants, modernization in agricultural practices is needed [5]. Because of several challenges like variation in climate, organic phenomenon and abiotic stress conditions at the height amount of crop, natural calamities loss the crop yield after we used the standard farming systems.…”

Section: Introductionmentioning

confidence: 99%

“…This internet application is additionally want to offer forecasting to predict atmosphere of a location. An efficient crop price prediction system offers farmers opportunities that may profit individuals during a larger context and might give out prospects for purchasers which might satisfy the purchasers to a larger context [5]. Middlemen operate altogether the continents of the globe particularly wherever the economy is booming.…”

Section: Introductionmentioning

confidence: 99%

Agriculture 1O1

Deshmukh¹,

Kude²,

Godambe³

et al. 2022

IJRASET

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Agriculture is the backbone of Asian nation and therefore the farmer may be a crucial component of it. Agriculture is primary and ancient occupation of Asian nation, and it's a supply of support for many of the population residing in India. Agriculture sector desires plenty of public sector support for a property growth. Government has issued varied schemes and incentives to the farmers to supply them social and monetary security. The introduction of contemporary techniques in agriculture sector has helped boost-up the productivity level, alongside an improvement in price and labor used. Trendy agricultural technique's area unit dynamic approach to agricultural innovations and farming practices that helps farmers increase potency and cut back the number of natural resources required to satisfy the world's food, fuel and fiber demands. Value prediction may be a huge issue for farmers WHO don't seem to be tuned in to the market costs. Foretelling value of agriculture commodities helps the farmers to foresee the market and grow appropriate crop to maximize profit. Forecasting weather API provides information regarding the longer term weather, so farmers will pre-plan their agricultural activities. For forecasting of weather, we tend to record the pattern of weather of past few days and so predict the longer-term weather. Farm Profit Calculation provides farmers a tool to grasp a way to maximize monetary potency for his or her operation. We wish farmers to urge the foremost bang for his or her buck, and learn wherever they'll cut back inputs while not touching their bottom line. Hoarding is an act of aggregation great amount of merchandise and keeping it to yourself to extend the market value. Farmers encounter high production prices in their efforts to spice up production however hardly get truthful rating of their merchandise from the middlemen. Therefore, farmers will keep track on activities of the middlemen. Thus, the system helps the farmers to ease their life. Keywords: Weather, Price Prediction, Hoarding, Profit.

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“…This work is based on the discovery of suitable data models that aid in the achievement of high accuracy and generality in price prediction. A contemporary research area that is being used to examine agricultural crop prices is big data predictive analytics [5]. Arecanut is a significant commercial tree crop that is mostly grown in the Indian states of Karnataka, Tamil Nadu, Kerala, Assam, West Bengal, and Meghalaya [6].…”

Section: Introductionmentioning

confidence: 99%

A Survey of Data Analytical Techniques on Commodity Price Prediction for Smart Agricultural System

Vikranth

Nethravathi

2022

IJCSBE

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Purpose: Food or agricultural products are one of the most basic needs of people. The population of India and the rest of the world is growing at an exponential rate, as is the demand for food commodities. As a result, there should be a proper and convenient way to increase food production, as well as the introduction of efficient technologies in all aspects of the agriculture sector. Commodity prices are an important factor in agriculture because they determine the former's economic status and wealth. The farmer's income and profit are determined by the current and future price of the commodity. Farmers are losing a lot of money because they don't know what the price of their products will be in the future. As a result, there should be a proper approach that provides future information about agricultural products, allowing farmers to make decisions ahead of time before cultivating any product. Design/Methodology/Approach: Developing a theoretical concept based on model building using the secondary sources and focus group interaction method and analysis of the model using the ABCD listing framework. Findings/Result: A method known as price prediction uses historical and current data from a database to estimate future agricultural commodity prices. This paper was primarily concerned with identifying the appropriate data analysis techniques for implementing price prediction systems, particularly for agricultural products. Also conducts a survey on various predictive analytics approaches related to agricultural datasets. Finally, we used our own suggested model to implement a price prediction system with the help of a smart agricultural system. Paper Type: Conceptual Research.

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Crop price prediction using supervised machine learning algorithms

Cited by 20 publications

References 2 publications

Crop Gen Forecast

Crop Gen Forecast

Agriculture 1O1

A Survey of Data Analytical Techniques on Commodity Price Prediction for Smart Agricultural System

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