Fabaceae Cultivation TRIZ Cases

Narrow-band UV LED exposure at 270-290 nm raises plant phenolic compounds while limiting harmful longer-wavelength UV effects.

This case uses deep learning with satellite and environmental data to predict soybean VPI values and guide objective field management.

Spatial and machine data generate environment-specific varietal responses and multi-genetics planting recommendations for each field.

Segmented breeding of homozygous parents resolves the contradiction between genetic diversity and performance predictability in bean variety development.

Fusing unstructured milk proteins with structured plant proteins enables stable expression in transgenic plants.

Automated digital imaging replaces subjective manual grading to determine optimal harvest timing and reduce evaluation time.

An agronomic method selects non-GMO seeds and applies targeted plant protection treatments to maintain crop health.

Asexual propagation of legume branch cuttings produces genetically identical clone plants, multiplying seed output within limited growing seasons.

Horizontal conveyor tracks regulate stem length and provide uniform illumination, increasing vine vegetable yield by 20-30%.

A membrane-supported container incubates hydrated seeds at refrigeration temperatures to grow cryo-sprouts.

Alternating photoperiods accelerate soybean generation time, reducing greenhouse maintenance costs.