Batac CITY—Three scientific research
papers of the Mariano Marcos State University (MMSU) received awards in the 25th
national research symposium (NRS) conducted by the Department of Agriculture –
Bureau of Agricultural Research (DA-BAR) in Diliman, Quezon City held October
16-17, 2013.
The research on Predicting
rice yield from multi-temporal satellite data using artificial neural network
by Nathaniel R. Alibuyog and his co-workers won third place in the technology
for generation (TG) category with a prize of P50,000 and a plaque of
recognition.
On the other hand, the papers on the Evaluation of light bulbs and the use of foliar fertilizer during
off-season production of dragon fruit by Leonardo T. Pascua and Maura Luisa
Gabriel; and the Pesticidal activity and
product formulation of different plant extracts for organic vegetable
production in the Ilocos by Leticia A. Lutap and company were qualifiers
and were not allowed for presentation. However, both papers received P10,000
each and a certificate of recognition.
Alibuyog’s research involved the monitoring the growth of rice
and forecasting its yield before harvest season. This, he said, is very
important for crop and food management.
The researcher used remote sensing images which are capable of
identifying crop health and predicting its yield. The study explored the
potentials of the artificial neural network (ANN) model for developing rice
yield prediction systems using the multi-temporal satellite data.
The study used the 16-day composite TERRA MODIS satellite images
which the researcher downloaded from the internet from November 2010 to April
2011 to predict rice yield in the province of Ilocos Norte. Two ANN rice yield
prediction models, namely RiceMod3 and RiceMod5, were developed.
Results showed that RiceMod3 and RiceMod5 were quite efficient
in capturing the complex relationship between rice yield and crop spectral
signature with R2 values of 0.542 and 0.732, respectively.
The ability of RiceMod3 to reasonably forecast the expected rice
yield prior to the harvesting date provides some opportunities for a farmer to
make decisions before harvest. As such, it may prove useful to use the model to
provide farm advisories. The RiceMod5, on the contrary, may prove useful to
provide timely prediction of crop yield over large areas and could be used as
an alternate method for crop yield survey.
On the other hand, Pascua’s research involved the use of 6-Watt
light emitting diode (LED) bulbs in inducing dragon cactus to flower during off
season months.
Results showed that dragon cactus plants can be induced to
flower if they are provided with supplemental lighting between 10:00 o’clock in
the evening until 2:00 o’clock the following morning using LED and compact
fluorescent bulbs.
After a six-month period, plants lighted with 6-Watt LED bulbs
gave P86,726 net income, while those lighted with 26-Watt CFL and 100-Watt
incandescent bulb (IB) gave P82,421 and P26,647 net income, respectively.
Meanwhile, Lutap research showed an easy way to make pesticides
and fungicides from plant extracts which are effective in controlling common
insect pests and diseases attacking high value commercial crops.
Extracts derived from snake weed, yellow ginger, betle, banana
bush, Mexican poppy, lantana, sticky spider flower, aloe vera, garlic wastes,
and tibak leaves contain substances effective in controlling tomato fruitworms,
thrips, mites and beetle pests; and diseases like tomato blight, purple
blotch and cercospora leaf spot on
garlic.
These pests and diseases, according to the researchers, are
known to reduce the yields of farmers by as much as 40 to 90 percent. Tests
showed that compounds present in these extracts have ovicides, insecticides,
and anti-feedants properties. Ovicides kill eggs of insect pests, while
anti-feedants destroy the pest’s appetite on the host plant.
When applied as biological pesticides and fungicides, the plant
extracts have markedly reduced the pest’s growth such as the number of larval
and pupal days and the premature mortality of treated larvae. The formulated
products are as effective as the commercial chemical pesticides and fungicides
commonly used by farmers.
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