How the latest technology of Drone viz. NDRE, CHL, NDVI etc. can help in Forecasting Banana crop's physical health related parameters in forecasting yield and fruit quality in the field ?
Dear Sundeep Priyadarshi ,
UAV technologies could be used in banana's cultivation as all other row crops:
-to evaluate the number of plants and counting of missing plants;
-to estimate plants affected by a specific lack of nutrients or disease through supervised classification and images analysis (i.e. Panama disease - Fusarium oxysporum);
-to forecast yield which needs specific research to find the best features correlated to yield to calibrate an estimation model;
https://www.questuav.com/media/case-study/maximizing-fruit-plantations-yield-using-uav-imagery-questuav-news/
Buenas tardes
Lo más importante de estas imágenes obtenidas es buscar un fin de un mejor rendimiento económico, medio ambiental y social. Haciendo más efectiva las futuras producciones.
Con diferencias espectrofotómetro puede obtener información como la detección de áreas infestadas con malezas en cultivos herbáceos, la detección de zonas que necesitan mayor o menor riego, la detección de zonas infectadas por hongos por ejemplo la Sigatoka.
Saludos!
Dear Priyadarshi
Machovina use ndvi values derived from drones to compared the physical quality of the soil and the banana production data obtaining positive correlations (R2 = 0.55 -0.65) of fruit yield and quality variables: bunch weight, number of hands per bunch, length of the largest finger and yield
Machovina B., Feeley K. y Machovina B. (2016). UAV remote sensing of spatial variation in banana production. Crop and Pasture Science. Vol. 67, Issue 12, 1281-1287pp.
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