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standard observation technology system architecture agrometeorological observation two-layer observation system complete observation system observation points emission standards buckle structure single-sample uniaxial compression creep testing
QX/T 666-2023 in English

QX/T 666-2023 in English

VALID

Specification for agrometeorological observation - Peanut

  • Issued on:2023-04-23
  • Implemented on:2023-07-01
  • File Format:PDF
  • Delivery:Via email within 5 business days
Price(USD): $610.00
$592.00


Introduction

Interpretation of the core content of the standard

Observation technology system architecture

This standard constructs a two-layer observation system that includes parallel observation and point-to-surface combination, and ensures the representativeness and scientificity of the data by combining fixed observation points with regional surveys. The key technical indicators include:

Observation dimension Core parameters Measurement accuracy Frequency requirement
Development period 9 key periods (from sowing to maturity) Morphological feature identification Every other day observation + end-of-decade inspection
Growth Leaf area index/dry matter weight 0.01g accuracy 5 common periods
Yield structure 8 indicators (including empty pod rate, etc.) 1% error control One-time before harvest

Key technical innovations

1. Development period determination technology

Innovatively proposed "double threshold determination method":

  • 10% of the plants show characteristics as the initial stage of development
  • 50% of the plants meet the standards as the general stage of development
  • For hidden development periods such as the needle-dropping stage, soil digging is required for verification

2. Yield prediction model

By establishing a ternary calculation model of number of pods per plant × 100-grain weight × kernel yield rate, the theoretical yield prediction error is controlled within ±5%. Among them:

 Theoretical yield (g/m²) = pod weight per plant (g) × plant density (plant/m²) Kernel rate = (kernel dry weight/pod dry weight) × 100% 

Typical cases of standard implementation

The application of Henan Meteorological Science Research Institute in Zhumadian Experimental Base shows that:

  1. Through dynamic monitoring of leaf area index, the window period for topdressing can be accurately determined, and the use of chemical fertilizers can be reduced by 12%
  2. Based on the correlation analysis between empty pod rate and meteorological elements, a drought early warning model is established
  3. The standardized recording system improves data comparability by 40%

Meteorological disaster response specifications

The standard specifies the observation methods for 5 major disasters:

Disaster type Key indicators Observation points Yield reduction assessment
Drought Dry soil thickness Flowering obstruction rate 5-level division
Waterlogging Duration of waterlogging Rate of rotten pods 3-day threshold
Hail disaster Hail diameter Stem breakage rate Instant assessment

Implementation suggestions

1. Observation equipment configuration

  • Required: electronic balance (0.01g), leaf area meter, soil moisture rapid tester
  • Recommended: portable weather station, multi-spectral imager

2. Data quality control

Implement the "three-review system": observer self-review → technical person in charge review → business supervisor final review, to ensure:

  • Development period determination error ≤ 3 days
  • Yield analysis error ≤ 2%

3. Standard connection application

It is recommended to use it in conjunction with QX/T 299-2015 "General Principles of Agricultural Meteorological Observation Specifications" to form a complete observation system.

Sample only — not a preview of QX/T 666-2023
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