Through different meteorological conditions, the related changes of the increase and the loss are made, and the corresponding soil moisture forecast is made. Finally, according to the soil moisture real-time monitoring system, the forecast results are compared with the local soil drought level indicators, so that the rapid and accurate drought forecast can be made at any time. Provide timely and reliable decision-making basis for leading organizations at all levels to direct agricultural production, conduct human shadow operations, and guide farmers in field management.
Because the artificial measurement has a certain randomness, the comparison between the artificial observation value and the observation data of the automatic monitoring system of the soil moisture real-time monitoring system can only be used as a reference and may not be completely consistent. However, from the perspective of long-term data application, the soil moisture monitoring and drought prediction model based on the soil automatic moisture observation station is convenient and stable, and the trend of reaction water change is more continuous.
Combined with the soil moisture real-time monitoring system to study the water needs of maize crops and the results of continuous drought response, first consider the calculation of water consumption of maize roots at different growth stages. According to different data, we divide the field water volume into four different periods: before and after spring sowing. From the end of the three-leaf stage, the end of the three-leaf stage to the beginning of the jointing stage, the beginning of the jointing stage to the end of the silking stage, the end of the silking stage to the full maturity stage, the following are the results of the no-precipitation day loss curve from the sowing of corn to the end of the three-leaf stage and the beginning of the jointing stage to the end of the silking stage. The precipitation increase curve is taken as an example.
The soil moisture real-time monitoring system can calculate the daily loss under different conditions (the part of the conversion with the rain period is omitted, and only the failure under the rainless condition). According to the different periods of corn fertility, the trend of soil moisture in the no-rain period was calculated in four periods, and the daily loss was obtained. Re-statistically use the typical different growth period, draw the forecast relationship line with the daily data of the missing day without precipitation, and make a trend line.
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