Yield estimation based on agronomic traits in vegetables under different biochar levels
• Biochar from guinea pig manure improve yield in spinach, chard, and cabbage. • The best performance yield was observed at the 30 t/ha biochar dose in all crops. • UAV-based spectral indices enhanced the prediction of aerial biomass. • CART and SVM models achieved high accuracy in yield prediction. • Integration of biochar and ML supports sustainable Andean vegetable farming. Biochar, a carbon-rich material produced through oxygen-limited pyrolysis of organic biomass, demonstrates exceptional potential as a soil amendment due to its porous structure and stability. This research investigated the impact of guinea pig manure biochar on three vegetable species cultivated in high Andean conditions: spinach ( Spinacia oleracea L .), cabbage ( Brassica oleracea var .), and chard ( Beta vulgaris var .). The study implemented four biochar application rates (0, 10, 20, and 30 t/ha) and measured comprehensive agronomic parameters including leaf count, leaf length, and fresh/dry biomass of both leaves and roots. Simultaneously, UAV-captured multispectral imagery provided spectral indices that were integrated with agronomic data into machine learning models: linear regression, support vector machines (SVM), and regression trees (CART). Results demonstrated significant vegetative growth enhancement and yield increases across all crops, with the 30 t ha -1 application rate producing optimal outcomes. Predictive modeling exhibited remarkable accuracy: spinach analysis via SVM achieved R² = 0.94 and RMSE = 0.32 g; chard analysis through CART delivered R² = 0.92 and RMSE = 0.35 g; and cabbage assessment using CART yielded R² = 0.91 and RMSE = 0.38 g. This research substantiates biochar's effectiveness as an organic amendment while establishing a reliable framework for crop yield prediction using machine learning algorithms integrated with spectral data. These findings position biochar as a valuable component in sustainable agricultural systems, particularly for vegetable production in challenging high-altitude environments.
Authors
- Samuel Pizarro (ORCID: https://orcid.org/0000-0001-9345-982X)
- Edilson J. Requena‐Rojas (ORCID: https://orcid.org/0000-0002-0653-587X)
- Alberto Arias-Arredondo (ORCID: https://orcid.org/0000-0002-6055-8722)
- Dennis Ccopi-Trucios (ORCID: https://orcid.org/0000-0002-4026-4874)
- João Marcelo
- Maglorio Taipe
Institutions
- Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (ES)
Publication Details
- Journal
- Scientia Horticulturae
- Published
- 2025-10-01
- DOI
- https://doi.org/10.1016/j.scienta.2025.114425
- Primary Topic
- Leaf Properties and Growth Measurement
- Type
- article
- Field-Weighted Citation Impact
- 0.00