LEARNINGFOR IMPROVED CROP MANAGEMENT, PRICE PREDICTIONANDEFFICIENT RESOURCE UTLIZATION
Keywords:
Agriculture, Food security, Machine learning, Crop Price, Crop ManagementAbstract
The agricultural industry is the most important pillar of our country's economy. In recent decades, the price of grain has changed significantly due to climate change and changes in relative prices. Farmers have neglected these investments and suffer from poor harvests and huge losses. They do not know which plant species will bring them the most profit. Plants suffer from a lack of information about the condition of the plants and their special processing. It gives accurate results when calculating processing costs. The system uses a machine-assisted decision tree analysis algorithm to calculate processing costs. The characteristics considered in the analysis are discounts, a list of non-commercial costs, month and time. As a result, the system provides fetal antibodies to farmers, optimizing crop yields and improving the economics of the agricultural industry. The system also includes modules for drip monitoring, planting suggestions, fertilizer recommendations, storage, security and monitoring capabilities.
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