Cabbage plant (Brassica oleracea var. capitata L.) quantification culti-vated under different soil covers using aerial photographs

• Samaniego-Gamez, Samuel U. ^[1] ; Yáñez-Juárez, Moises ^[1] ; Núñez-Ramírez, Fidel ^[2] ; Payán-Arzapalo, María A. ^[3] ; Valle-Gough, Raúl E. ^[2] ; Samaniego-Gamez, Blancka Y. ^[2]
  1. [1] Universidad Autónoma de Sinaloa, Facultad de Agronomía
  2. [2] Universidad Autónoma de Baja California, Instituto de Ciencias Agrícolas
  3. [3] Universidad Autónoma de Sinaloa

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• Localización: Agro Productividad, ISSN-e 2594-0252, Vol. 17, Nº. 11, 1, 2024 (Ejemplar dedicado a: Noviembre (Suplemento)), págs. 57-66
• Idioma: inglés
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  • var. capitata L.) quantification cultivated under different types of mulching, using aerial images captured by RPAS (Remotely Piloted Aircraft System). Design/methodology/approach: The cabbage plantation used for the study was established under a completely randomized block design with different types of mulch as treatments: black plastic, white plastic, straw, and bare soil. Manual plant counts and automated estimates were performed using two agricultural artificial intelligence platforms (Platforms A and B). The relationship was evaluated using linear regression correlation (R²), and the following indicators were subsequently used: estimation accuracy (Ps), estimation error percentage (Es), mean absolute error (MAE), and root mean square error (RMSE). Results: Platform A showed a correlation coefficient range of R²=0.41 to 0.91. Platform B obtained R² values ranging from 0.77 to 0.88. Platform A exhibited the highest estimation accuracy (Ps) with 98.3% and an estimation error (Es) of -1.7% for straw mulch, with a mean absolute error (MAE) of 2.0% and a root mean square error (RMSE) of 1 for bare soil. Both platforms showed underestimations in the number of detected plants, ranging from -6.7% to -1.7%. Limitations on study/implications: The use of RPAS was limited by atmospheric conditions such as wind and rain. Findings/conclusions: The effectiveness of counting cabbage plants using RPAS was validated.