M3DAS
Developed by UPLB BIOMECH

Mechanization
Resource Mapping,
Monitoring and Data
Analysis System

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3k+
Machines
4k+
Implements
400
Respondents
Dashboard
Maps

Sugarcane Analytics

2023 - The Philippines

Machineries by numbers

Machines
89%
of total adoption
Implements
79%
of total adoption
Total
84%
of total adoption

Most Perferred Varieties

1
Variety 118%
2
Variety 215%
3
Variety 312%
4
Variety 410%
5
Variety 514%

Most Planted Varieties

1
Variety 118%
2
Variety 215%
3
Variety 312%
4
Variety 410%
5
Variety 514%

Crop Establishment

Transplanted
56%
of farmers
Ratooned
44%
of farmers

Irrigation Rate

Average Irrigation Rate
10
kilograms per hectare

Nutrient Management - Fertilizer Usage

Fertilizer TypeUsage RateAdoption
Urea (46-0-0)97 kg/ha
97%
Complete (14-14-14)81 kg/ha
81%
Ammosul (21-0-0)33 kg/ha
33%
Ammophos (16-20-0)21 kg/ha
21%
MOP (0-0-60)4 kg/ha
4%

Water Management

78%

Continuous flooding

Mechanization

45%

Using machinery

Pest Management

82%

Using pesticides

Data Source: University of the Philippines Los Baños - Center for Agri-Fisheries and Biosystems Mechanization - Mechanization Resource Mapping, Monitoring, and Data-Analysis System
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