Main Article Content

Abstract

Production of paddy in a different place is caused by several factors such as soil type, soilnutrient content, pests and diseases, climate change and cultivation techniques. Because ofthese differences, to find out the productivity of land in a large area needs technology so thatthe results are more appropriate. For this reason, this study was conducted with the aim ofestimating land productivity using technology that reflects plant reflectance in several croppingpatterns. , taking a portrait of land appearance and measuring grain productivity to be used asvalidation data. The data is processed by linking reflectance (vegetation index), color, plantdensity and productivity of paddy rice in the same area. The results show that there is arelationship between plant density with the productivity of paddy fields (tons/ha) with acoefficient of determination (R2) that is 0.7. Rice plants in Legowo 2-1 cropping pattern havemore influence on the index increase compared to the Tegel planting pattern. The relationshipbetween the vegetation index and rice productivity (tons/ha) is weak in SR, NDVI, SAVI, MSAVI,and IPVI and is strong in RDVI

Keywords

Spectrometer vegetation index cropping pattern rice

Article Details

How to Cite
Suhardi, S., Useng, D., & Johan, N. P. (2019). PENDUGAAN PRODUKTIVITAS PADI SAWAH BERDASARKAN REFLEKTANSI (INDEKS VEGETASI), WARNA DAN KERAPATAN TANAMA. Jurnal Penelitian Dan Pengembangan Agrokompleks, 1(2), 17-26. Retrieved from https://journal-old.unhas.ac.id/index.php/jppa/article/view/5738

References

  1. Abdulrachman S, J. M. Made, A. Nurwulan,
  2. G. Indra., P. Sasmita dan A. Guswara.
  3. Panduan Sistem Tanam Legowo.
  4. Badan Penelitian dan Pengembangan
  5. Pertanian. Sukamandi.
  6. BPS (Badan Pusat Statistik). 2016. Produksi
  7. Padi Tahun 2015.
  8. Http://www.bps.go.id/Brs/view/id/115
  9. Diakses pada Selasa, 7 Juni 2016.
  10. BPPP (Badan Penelitian dan Pengembangan
  11. Pertanian). 2016. Deskripsi Varietas
  12. Unggul
  13. Padi.http://bbpadi.litbang.pertanian.g
  14. o.id/index.php/en/publikasi/buku/cont
  15. ent/item/450-deskripsi-varietas-2016.
  16. Diakses pada Selasa, 7 Juni 2016.
  17. Shadrina, N. 2015. Pendugaan
  18. Produktivitas Tanaman Padi Sawah
  19. Berdasarkan Citra Digital dan
  20. Spektrometer.Tesis Universitas
  21. Hasanuddin. Makassar.
  22. Sudiana, D dan D. Elfa. 2008. Analisis
  23. Indeks Vegetasi Menggunakan Data
  24. Satelit NOAA/AVHRR dan
  25. TERRA/AQUA-MODIS. Fakultas
  26. Teknik. Universitas Indonesia. Jakarta.