1887

Abstract

Summary

The rapid change of weather, change of climate and activity of wreckers, today negatively influence on the modern state of agricultural production. Efficiency of application of classic methods of monitoring is lost. In this connection for the increase of efficiency of production the newest technologies and instruments are used (for example, innovative decisions on the basis of the satellites systems and drones).

Machine learning is actual modern instrument which used at the decision-making from the process control of vegetation. Importance of application of machine vegetation is conditioned by complication of task of analysis of the fields and prognostication of possible harvest, so as a lot of factors influence on a general results. For the analysis of the information got at monitoring of the state of environment, expert technologies are also successfully used.

It is conditioned to those, that modern satellites pictures with distributive distance 3 meters do not give sufficient information for the high-quality control after the harvest of corn, that is why it follows to attract additional information. Therefore holds the search of new methods of receipt of additional specifying information, in particular with the use of technological decisions on the basis of drones.

© EAGE Publications BV
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/content/papers/10.3997/2214-4609.20215K2049
2021-11-17
2026-01-21

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Monitoring of the condition of agricultural crops based on the use of clustering methods
Conference Proceedings 2021, 1 (2021); https://doi.org/10.3997/2214-4609.20215K2049
/content/papers/10.3997/2214-4609.20215K2049
/content/papers/10.3997/2214-4609.20215K2049
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