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AI Pruning - AI-supported pruning of perennial crops
Project
Project code: EIP-Agri-Rlp-2023
Contract period: 01.01.2023
- 31.12.2025
Budget: 351,360 Euro
Purpose of research: Applied research
Keywords: equipment and machinery, outdoor horticulture/woody crops (incl. viticulture, olives, fruit, ornamentals), biodiversity and nature, landscape, climate change, AKIS, organic farming, agro-ecology, competitiveness/new business models, digitalisation
Skilled labor shortage and climate change threaten agriculture Pruning is labor-intensive, costly, and crucial for perennial crops. Lack of time and expert staff worsens the challenge. Healthy, resilient plants are vital to combat climate change and biodiversity loss. Regular, professional pruning supports fruit trees and preserves cultural landscapes - an urgent ecological task. 2020-2023, the EIP-Agri project 'KI-Rebschnitt' proved AI-assisted vine pruning works. Now, the method is being adapted for fruit farming ? focused on apple orchards, traditional meadow orchards, and steep-slope vineyard peaches. An international expert team is developing practical AI prototypes, already set for use in training programs. AI Pruning promotes healthy orchards and addresses labor shortages: Using AI and smartphones, it analyzes plants, provides pruning guidance, and enables untrained workers to perform skilled tasks. This saves time and costs, secures jobs, and bridges the gap between research and practice - Applied Agriculture 4.0 for efficiency and sustainability.
Section overview
Subjects
- Arboriculture
- Process engineering
