SARAI MIMAROPA‎

#𝐒𝐀𝐑𝐀𝐈𝐢𝐧𝐀𝐂𝐓𝐈𝐎𝐍 | 𝐒𝐀𝐑𝐀𝐈 𝐂𝐞𝐍𝐓𝐑𝐎 𝐂𝐞𝐧𝐭𝐫𝐚𝐥 𝐋𝐮𝐳𝐨𝐧, 𝐃𝐎𝐒𝐓 𝐌𝐈𝐌𝐀𝐑𝐎𝐏𝐀 𝐄𝐱𝐩𝐥𝐨𝐫𝐞 𝐂𝐥𝐢𝐦𝐚𝐭𝐞-𝐒𝐦𝐚𝐫𝐭 𝐀𝐠𝐫𝐢𝐜𝐮𝐥𝐭𝐮𝐫𝐞 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧 𝐓𝐡𝐫𝐨𝐮𝐠𝐡 𝐒𝐈𝐍𝐀𝐆

DOST Central Luzon SARAI CeNTRO Team and the Department of Science and Technology (DOST) MIMAROPA recently conducted an orientation meeting to discuss the DOST-SINAG Program and its Virtual Hub, highlighting its role in advancing climate-resilient and data-driven agriculture in the country.

Held via Zoom on Tuesday, May 19, 2026, the meeting introduced representatives to the platform’s framework, core features, and potential applications in supporting agricultural decision-making through timely climate and weather-related information. The discussion underscored the importance of science-based digital tools in helping farming communities adapt to changing climate conditions.

Key conversations centered on the use of the SINAG platform for major commodities. The Central Luzon Team noted that access to localized weather forecasts, advisories, and agricultural data can help farmers improve farm management practices, minimize production risks, and enhance productivity.

The orientation also opened discussions on possible areas of collaboration between participating regions, including data sharing, system integration, and capacity-building initiatives aimed at strengthening regional agricultural support systems.

Through continued partnerships and knowledge exchange, the DOST-SINAG Program seeks to promote climate-smart agriculture and reinforce the use of technology and innovation in building more resilient farming communities.

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𝐌𝐚𝐲 𝐦𝐠𝐚 𝐧𝐚𝐩𝐚𝐩𝐚𝐧𝐬𝐢𝐧 𝐤𝐚 𝐛𝐚𝐧𝐠 𝐝𝐢 𝐩𝐚𝐧𝐠𝐤𝐚𝐫𝐚𝐧𝐢𝐰𝐚𝐧𝐠 𝐩𝐚𝐠𝐛𝐚𝐛𝐚𝐠𝐨 𝐬𝐚 𝐢𝐧𝐲𝐨𝐧𝐠 𝐦𝐠𝐚 𝐩𝐮𝐧𝐨 𝐧𝐠 𝐬𝐚𝐠𝐢𝐧𝐠? 𝐀𝐧𝐠 𝐦𝐚𝐚𝐠𝐚𝐧𝐠 𝐩𝐚𝐠𝐤𝐚𝐤𝐢𝐥𝐚𝐥𝐚 𝐬𝐚 𝐦𝐠𝐚 𝐬𝐞𝐧𝐲𝐚𝐥𝐞𝐬 𝐧𝐠 𝐩𝐞𝐬𝐭𝐞 𝐚𝐭 𝐬𝐚𝐤𝐢𝐭 𝐚𝐲 𝐦𝐚𝐡𝐚𝐥𝐚𝐠𝐚 𝐮𝐩𝐚𝐧𝐠 𝐦𝐚𝐢𝐰𝐚𝐬𝐚𝐧 𝐚𝐧𝐠 𝐩𝐚𝐠𝐥𝐚𝐥𝐚 𝐧𝐠 𝐩𝐢𝐧𝐬𝐚𝐥𝐚 𝐬𝐚 𝐢𝐧𝐲𝐨𝐧𝐠 𝐭𝐚𝐧𝐢𝐦𝐚𝐧.

Sa MIMAROPA, ilan sa mga maaaring makaapekto sa saging ay ang banana aphid at banana corm weevil, gayundin ang mga sakit na Sigatoka at Fusarium wilt. Maaaring magpakita ang mga ito ng paninilaw at pagkatuyo ng mga dahon, paghina ng paglaki, at pagbawas ng pamumunga ng saging.

Sa post na ito, ibinabahagi ang ilan sa mga karaniwang palatandaan na dapat bantayan at mga simpleng hakbang na maaaring makatulong upang mapanatiling malusog ang inyong mga tanim.

Ugaliing suriin ang inyong bukid at gamitin ang SPIDTECH app para sa mas maagang pagtukoy ng mga peste at sakit sa saging.

I-scan ang QR code sa post para ma-download ang SPIDTECH app.

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𝐌𝐚𝐲 𝐧𝐚𝐩𝐚𝐩𝐚𝐧𝐬𝐢𝐧 𝐤𝐚 𝐛𝐚𝐧𝐠 𝐤𝐚𝐤𝐚𝐢𝐛𝐚𝐧𝐠 𝐬𝐢𝐧𝐭𝐨𝐦𝐚𝐬 𝐬𝐚 𝐢𝐧𝐲𝐨𝐧𝐠 𝐦𝐠𝐚 𝐩𝐮𝐧𝐨 𝐧𝐠 𝐧𝐢𝐲𝐨𝐠? 𝐆𝐚𝐲𝐚 𝐧𝐠 𝐩𝐚𝐧𝐢𝐧𝐢𝐥𝐚𝐰 𝐚𝐭 𝐩𝐚𝐧𝐮𝐧𝐮𝐲𝐨 𝐧𝐠 𝐝𝐚𝐡𝐨𝐧, 𝐩𝐚𝐠𝐛𝐚𝐛𝐚 𝐧𝐠 𝐚𝐧𝐢 𝐚𝐭 𝐩𝐚𝐠𝐤𝐚𝐬𝐢𝐫𝐚 𝐧𝐠 𝐦𝐠𝐚 𝐮𝐬𝐛𝐨𝐧𝐠 𝐧𝐠 𝐧𝐢𝐲𝐨𝐠? 𝐇𝐮𝐰𝐚𝐠 𝐢𝐭𝐨𝐧𝐠 𝐛𝐚𝐥𝐞𝐰𝐚𝐥𝐚𝐢𝐧 𝐝𝐚𝐡𝐢𝐥 𝐚𝐧𝐠 𝐦𝐚𝐚𝐠𝐚𝐧𝐠 𝐩𝐚𝐠𝐤𝐢𝐥𝐚𝐥𝐚 𝐬𝐚 𝐩𝐞𝐬𝐭𝐞 𝐚𝐭 𝐬𝐚𝐤𝐢𝐭 𝐚𝐲 𝐦𝐚𝐡𝐚𝐥𝐚𝐠𝐚 𝐩𝐚𝐫𝐚 𝐦𝐚𝐢𝐰𝐚𝐬𝐚𝐧 𝐚𝐧𝐠 𝐦𝐚𝐬 𝐦𝐚𝐥𝐚𝐤𝐢𝐧𝐠 𝐩𝐢𝐧𝐬𝐚𝐥𝐚 𝐬𝐚 𝐧𝐢𝐲𝐮𝐠𝐚𝐧.

Sa MIMAROPA, ilan sa mga karaniwang suliranin sa niyog ay ang cocolisap at coconut rhinoceros beetle, gayundin ang mga sakit na coconut wilt disease at cadang-cadang. Ang mga ito ay maaaring magdulot ng paninilaw at pagkatuyo ng mga dahon, pagkasira ng gitnang usbong, paghina ng pamumunga, at unti-unting paglala ng kondisyon ng puno.

Sa post na ito, tampok ang ilan sa mga senyales na dapat bantayan at mga paunang hakbang na maaaring gawin upang maprotektahan ang inyong mga tanim na niyog.

Ugaliing magsagawa ng regular na obserbasyon sa bukid at gamitin ang SPIDTECH app upang makatulong sa mas maagang pagtukoy ng mga peste at sakit sa niyog.

I-scan ang QR code sa post para ma-download ang SPIDTECH app.

𝐃𝐎𝐒𝐓-𝐒𝐀𝐑𝐀𝐈 𝐌𝐈𝐌𝐀𝐑𝐎𝐏𝐀, 𝐔𝐏𝐋𝐁 𝐂𝐨𝐧𝐝𝐮𝐜𝐭 𝐌𝐚𝐩𝐩𝐢𝐧𝐠 𝐀𝐜𝐭𝐢𝐯𝐢𝐭𝐢𝐞𝐬 𝐢𝐧 𝐒𝐞𝐥𝐞𝐜𝐭𝐞𝐝 𝐁𝐚𝐫𝐚𝐧𝐠𝐚𝐲𝐬 𝐨𝐟 𝐁𝐮𝐞𝐧𝐚𝐯𝐢𝐬𝐭𝐚, 𝐌𝐚𝐫𝐢𝐧𝐝𝐮𝐪𝐮𝐞

As part of the ongoing implementation of Project SARAI, the DOST-SARAI MIMAROPA team, together with representatives from the SARAI Central Hub, conducted mapping activities in selected agricultural areas in Buenavista, Marinduque, on April 29, 2026. The activity covered the barangays of Yook, Tungib Lipata, Sihi, Timbo, Malbog, Poblacion, Daykitin, Bagtingon, and Caigangan, aiming to verify crop types, confirm planted areas, and assess actual field conditions.

Through field validation and mapping, key data on crop areas, cropping patterns, and current agricultural conditions were gathered. These inputs will serve as the foundation for creating more localized and climate-informed advisories for farmers.

During the visit, the team also paid a courtesy call to the Municipal Agricultural Office of Buenavista to discuss opportunities for strengthening the implementation of Project SARAI and sustaining smart farming initiatives at the local level.

These activities are part of the broader rollout of the SARAI Centralized National Hub for Regional Operations (SARAI CeNTRO)—a DOST-funded initiative monitored by DOST-PCAARRD and implemented nationwide through UPLB in partnership with DOST Regional Offices.

Through Project SARAI, these coordination and site validation efforts further support DOST-MIMAROPA’s commitment to making science-based data and planning tools more accessible to local governments, helping address weather-related risks and agricultural planning needs.

𝐄𝐕𝐄𝐍𝐓 𝐇𝐈𝐆𝐇𝐋𝐈𝐆𝐇𝐓𝐒: 𝐃𝐎𝐒𝐓–𝐒𝐀𝐑𝐀𝐈 𝐌𝐈𝐌𝐀𝐑𝐎𝐏𝐀, 𝐔𝐏𝐋𝐁 𝐂𝐨𝐧𝐝𝐮𝐜𝐭 𝐏𝐚𝐫𝐭𝐢𝐜𝐢𝐩𝐚𝐭𝐨𝐫𝐲 𝐌𝐚𝐩𝐩𝐢𝐧𝐠 𝐚𝐧𝐝 𝐒𝐞𝐚𝐬𝐨𝐧𝐚𝐥 𝐂𝐫𝐨𝐩𝐩𝐢𝐧𝐠 𝐂𝐚𝐥𝐞𝐧𝐝𝐚𝐫 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩 𝐟𝐨𝐫 𝐃𝐚𝐭𝐚 𝐕𝐚𝐥𝐢𝐝𝐚𝐭𝐢𝐨𝐧 𝐢𝐧 𝐁𝐮𝐞𝐧𝐚𝐯𝐢𝐬𝐭𝐚, 𝐌𝐚𝐫𝐢𝐧𝐝𝐮𝐪𝐮𝐞

The DOST–SARAI MIMAROPA team, in collaboration with the UPLB SARAI Central Hub, facilitated a Participatory Mapping and Seasonal Cropping Calendar Workshop in Buenavista, Marinduque, on April 28, 2026. The event brought together 52 participants from 12 barangays, including barangay officials, agricultural technicians, and representatives from local farmers' associations, offering a collaborative platform for validating agricultural data and supporting local planning efforts.

During the participatory mapping session, participants reviewed and validated printed agricultural maps at the barangay level, identifying planted areas, crop types, and existing cropping patterns. This collaborative process allowed for the integration of local, firsthand knowledge with the preliminary geospatial data provided by the SARAI team, ultimately improving the accuracy and reliability of the agricultural information.

The Seasonal Cropping Calendar Workshop simultaneously encouraged discussions on planting and harvesting schedules for major crops across barangays. Participants exchanged valuable insights into crop cycles, farming practices, and climate factors—such as rainfall patterns, dry periods, and climate risks—that affect agricultural productivity in their areas.

This participatory approach not only enhances the quality of agricultural datasets but also promotes shared ownership among local government units (LGUs) and farming communities. The validated inputs from the workshop will be integrated into SARAI’s geospatial tools to improve crop monitoring and inform the creation of science-based agricultural advisories and planning support for the municipalities involved.

These activities are part of the ongoing implementation of the SARAI Centralized National Hub for Regional Operations (SARAI CeNTRO), a DOST-funded initiative monitored by DOST-PCAARRD and executed nationwide through UPLB in partnership with DOST Regional Offices.

Through Project SARAI, these efforts strengthen DOST–MIMAROPA’s commitment to making science-based data and planning tools accessible to local governments, particularly in mitigating weather-related risks and improving agricultural planning and decision-making.

𝐓𝐎𝐃𝐀𝐘'𝐒 𝐇𝐈𝐆𝐇𝐋𝐈𝐆𝐇𝐓: 𝐃𝐎𝐒𝐓–𝐒𝐀𝐑𝐀𝐈 𝐌𝐈𝐌𝐀𝐑𝐎𝐏𝐀 𝐚𝐧𝐝 𝐔𝐏𝐋𝐁 𝐂𝐨𝐧𝐝𝐮𝐜𝐭 𝐏𝐚𝐫𝐭𝐢𝐜𝐢𝐩𝐚𝐭𝐨𝐫𝐲 𝐌𝐚𝐩𝐩𝐢𝐧𝐠 𝐚𝐧𝐝 𝐒𝐞𝐚𝐬𝐨𝐧𝐚𝐥 𝐂𝐫𝐨𝐩𝐩𝐢𝐧𝐠 𝐂𝐚𝐥𝐞𝐧𝐝𝐚𝐫 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩 𝐟𝐨𝐫 𝐃𝐚𝐭𝐚 𝐕𝐚𝐥𝐢𝐝𝐚𝐭𝐢𝐨𝐧 𝐢𝐧 𝐂𝐚𝐥𝐚𝐩𝐚𝐧 𝐂𝐢𝐭𝐲, 𝐎𝐫𝐢𝐞𝐧𝐭𝐚𝐥 𝐌𝐢𝐧𝐝𝐨𝐫𝐨

The DOST–SARAI MIMAROPA team, in collaboration with the UPLB SARAI Central Hub, conducted a Participatory Mapping and Seasonal Cropping Calendar Workshop in Calapan City, Oriental Mindoro. The activity was attended by 135 participants representing 37 barangays of Calapan City, including barangay officials, agricultural technicians, and representatives from local farmers’ associations, and served as a collaborative platform for validating agricultural data and supporting local planning initiatives.

Through participatory mapping, stakeholders reviewed and validated printed agricultural maps at the barangay level, identifying planted areas, crop types, and existing cropping patterns. This process enabled the integration of local, firsthand knowledge with preliminary geospatial data generated by the SARAI Team, thereby enhancing the accuracy and reliability of agricultural information.

Simultaneously, the Seasonal Cropping Calendar Workshop facilitated discussions on the planting and harvesting schedules of major crops across barangays. Participants shared insights on crop cycles, farming practices, and climate-related factors—including rainfall patterns, dry periods, and climate risks—that influence agricultural production in their respective localities.

This participatory approach not only strengthens the quality of agricultural datasets but also fosters shared ownership among LGUs and farming communities. The validated inputs gathered from the workshop will be integrated into SARAI’s geospatial tools to support improved crop monitoring and guide the development of science-based agricultural advisories and planning support for concerned municipalities.

These efforts form part of the broader rollout of the SARAI Centralized National Hub for Regional Operations (SARAI CeNTRO), a DOST-funded initiative monitored by DOST-PCAARRD and implemented nationwide through UPLB in partnership with DOST Regional Offices.

Through Project SARAI, these activities reinforce DOST–MIMAROPA’s commitment to making science-based data and planning tools more accessible to local governments, particularly in addressing weather-related risks and enhancing agricultural planning and decision-making.

𝐒𝐭𝐫𝐞𝐧𝐠𝐭𝐡𝐞𝐧𝐢𝐧𝐠 𝐂𝐥𝐢𝐦𝐚𝐭𝐞 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠: 𝐃𝐎𝐒𝐓–𝐌𝐈𝐌𝐀𝐑𝐎𝐏𝐀, 𝐔𝐏𝐋𝐁, 𝐚𝐧𝐝 𝐋𝐆𝐔 𝐒𝐚𝐧 𝐉𝐨𝐬𝐞 𝐈𝐧𝐬𝐭𝐚𝐥𝐥 𝐀𝐖𝐒

DOST-MIMAROPA through PSTO-Occidental Mindoro and DOST–SARAI MIMAROPA team, in collaboration with the University of the Philippines Los Baños (UPLB) and the Local Government Unit of San Jose, facilitated the installation of an Automatic Weather Station (AWS) in Barangay La Curva, San Jose, Occidental Mindoro on April 20, 2026.

The Automatic Weather Station (AWS) is a ground-based meteorological monitoring system that automatically collects real-time and historical weather data, including rainfall, air temperature, relative humidity, wind speed and direction, solar radiation, and atmospheric pressure. These data are essential for generating localized weather advisories, conducting crop suitability analysis, and supporting seasonal agricultural planning.

Through the availability of site-specific and validated weather data, the initiative strengthens evidence-based planning among LGUs, particularly in the areas of disaster preparedness, climate change adaptation, and efficient agricultural resource management. It also enhances the capacity of local stakeholders to make timely and informed decisions in response to changing weather and climate conditions.

This activity is part of DOST–MIMAROPA’s ongoing efforts to advance smart agriculture across the region by improving access to reliable climate and weather data. Under the Smart and Sustainable Communities Program (SSCP), DOST–MIMAROPA promotes the adoption of SARAI technologies to support data-driven and climate-informed agriculture. This initiative is implemented through the SSCP project titled 𝗦𝗮𝗻 𝗝𝗼𝘀𝗲 𝗦𝗠𝗔𝗥𝗧𝗲𝗞𝗢𝗠𝘂𝗻𝗶𝗱𝗮𝗱: 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗻𝗴 𝗦𝗔𝗥𝗔𝗜 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮-𝗗𝗿𝗶𝘃𝗲𝗻 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗠𝗮𝗸𝗶𝗻𝗴 𝗔𝗺𝗼𝗻𝗴 𝗢𝗻𝗶𝗼𝗻 𝗙𝗮𝗿𝗺𝗲𝗿𝘀 𝗼𝗳 𝗦𝗮𝗻 𝗝𝗼𝘀𝗲, which aims to enhance onion farming practices, strengthen digital literacy, and foster resilient and sustainable communities.

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𝐂𝐑𝐎𝐏 𝐌𝐎𝐍𝐈𝐓𝐎𝐑𝐈𝐍𝐆 𝐎𝐔𝐓𝐋𝐎𝐎𝐊
𝐁𝐮𝐞𝐧𝐚𝐯𝐢𝐬𝐭𝐚, 𝐌𝐚𝐫𝐢𝐧𝐝𝐮𝐪𝐮𝐞
(𝐎𝐜𝐭𝐨𝐛𝐞𝐫 𝟐𝟎𝟐𝟓 – 𝐌𝐚𝐫𝐜𝐡 𝟐𝟎𝟐𝟔)

The DOST–SARAI MIMAROPA Team generated a crop monitoring outlook for Buenavista, Marinduque using Sentinel-2 satellite imagery processed through Google Earth Engine and QGIS under the CL-SEAMS platform. This activity aims to provide a satellite-based view of areas with active vegetation signals within mapped annual crop areas and support agricultural monitoring, planning, and ground validation.

The analysis used the Normalized Difference Vegetation Index (NDVI), which helps indicate vegetation presence and relative greenness across agricultural parcels. As the mapped areas cover annual crops, the detected signals may represent different crop types and varying growth stages depending on actual planting conditions in Buenavista.

The agricultural reference data used in this assessment were based on the 2025 Land Cover Map of Region-4B produced by the National Mapping and Resource Information Authority (NAMRIA), while the total standing crop areas were processed through CL-SEAMS under SARAI MIMAROPA. Results should be interpreted with due consideration, as NDVI may be affected by cloud cover, topography, and surrounding forest vegetation, especially in the more mountainous areas of Buenavista, which can make values appear similar across some locations or dates.

All figures and spatial outputs presented in this map are preliminary and remain subject to field validation and further verification.