Sugarcane Row Gaps Assessment over Successive Burned and Unburned Annual Harvests

Abstract

Mechanized harvesting operations promote a series of benefits to sugarcane production but are also a cultivation step responsible for developing a series of problems for the soil and the plants due to plant mechanical damage, resulting in a decline in production over successive cycles due to row gaps emergence. The objective of this study was to evaluate the impact of burned and unburned harvesting systems on the occurrence of sugarcane row gaps over annual harvests. For this study, a burned and an unburned area were selected. The row gap number and length (sum of gaps, m) were measured after the sugarcane planting and plant-cane cultivation stages and after the first, second, and third sugarcane ratoon harvests. The results revealed that there was no difference in the number and length of row gaps between the burned and unburned harvesting systems. However, the row gap number and length considerably increased after the second harvest in both treatments (burned and unburned). The row gap number and length were close to 5 and 1–5 m at the planting and plant-cane cultivation stages and increased to around 60 and 70 m as the harvest progressed, respectively, in burned and unburned harvesting. Our results suggest that row gaps in sugarcane fields are independent of the burned or unburned sugarcane harvesting system but increase as the number of harvests increases.

Challenges of Digital Solutions in Sugarcane Crop Production: A Review

“…In terms of digitalization in sugarcane production and automatic intervention, several studies have been conducted (Figure 5), mostly related to sensing and predictive approaches, for example, biomass [67][68][69], gaps [1,3,53,[70][71][72][73][74], lodging identification and classification [75], yield estimation [76][77][78][79][80][81][82], nitrogen application [69,83], sugarcane disease detection [84,85], weed control [52,86], improved cropland use [87], harvesting planning [88,89], and prediction of seed replenishment positions [90]. [68], improved cropland use [87], image classifier [52], gaps [73], lodging identification [75] a yield estimation [79].…”