Abstract
Sugarcane is a vital crop in the Philippines, yet its production remains constrained by rising input costs, labor shortages, and increasing water scarcity. This study evaluated the performance of the Auto Furrow Irrigation System (AFIS), a solar-powered, sensor-based surface irrigation technology developed by Central Luzon State University, in combination with a biofertilizer produced by UPLB-BIOTECH to enhance sugarcane productivity in a low-yielding SRA block farm. Pilot testing was conducted during the 2023–2024 cropping season in Paniqui, Tarlac. Data were analyzed using a randomized complete block design (RCBD) with three replications, and treatment means were compared using the least significant difference (LSD) test. Results showed that AFIS, combined with biofertilizer, significantly improved crop growth and yield parameters compared with conventional practices. Stalk height increased from 328 cm to 363 cm, millable tillers from 14 to 16, and stalk diameter from 26 mm to 31 mm. Yield performance also improved substantially, with sugarcane yield increasing from 111–122 TC ha-1 under conventional irrigation to 164–189 TC ha-1 under AFIS. Water productivity, calculated using total irrigation water and computed effective rainfall, rose from 6 kg m⁻³ to 12 kg m⁻³. Sugar recovery improved from 1.6 to 1.9 Lkg TC-1, resulting in higher sugar output per hectare (301–347 vs. 156–206 Lkg ha-1). Statistically, AFIS with biofertilizer showed significant differences at the 5% significance level in stalk height, stalk diameter, stalk weight, yield, and sugar production. Economic analysis further indicated higher profitability under AFIS, with a benefit–cost ratio of 2.34 and a return on investment of 134%, compared with 1.36 and 36% under the conventional system. Although AFIS required a higher initial investment, its approximately 2-year payback period remained economically acceptable. The results demonstrate that integrating AFIS with biofertilizer can substantially increase sugarcane yield, water-use efficiency, and net economic returns. However, these findings are based on a single site and one cropping season; therefore, multi-location and multi-year evaluations are recommended to validate system performance under diverse field conditions.
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