PERANCANGAN SISTEM MONITORING TERMOGRAFI BERBASIS THERMAL IMAGING CAMERA PADA GROWTH CHAMBER

ARDAN WIRATMOKO, Andri Prima Nugroho, S.T.P., M.Sc., Ph.D.; Prof. Dr. Ir. Lilik Sutiarso, M.Eng., IPU

2021 | Skripsi | S1 TEKNIK PERTANIAN

Sistem monitoring merupakan salah satu basis penting dalam pertanian presisi. Monitoring secara konvensional memiliki kelemahan seperti rentan menimbulkan kelelahan operator, bias data, subjektif, dan hasil yang kurang akurat. Tempat monitoring secara khusus seperti growth chamber memungkinkan monitoring dapat berjalan dengan baik karena minimnya pengaruh dari faktor luar. Tanaman sebagai makhluk hidup poikiloterm dapat mengalami gradien temperatur saat melakukan aktivitas biologis. Perubahan suhu pada dapat mengindikasi adanya penyakit seperti virus, jamur, maupun bakteri. Monitoring termografi dapat mendukung optimalisasi dan antisipasi saat pertumbuhan tanaman. Tujuan dari penelitian ini yaitu merancang sistem monitoring termografi pada tanaman berbasis thermal imaging camera. Tanaman yang digunakan sebagai objek pengamatan yaitu sawi pakcoy. Penelitian ini menggunakan metode verifikasi dan validasi untuk mengukur keakuratan hasil perancangan sistem. Cara kerja thermal imaging camera yaitu dengan mengakuisisi data termal secara otomatis dan berulang setiap lima menit sekali. Selain itu, untuk mendukung hasil implementasi sistem monitoring termografi, dilakukan pengambilan data kondisi lingkungan pada growth chamber. Data hasil monitoring dianalisis menggunakan RStudio dengan segmentasi algoritma ROI untuk menentukan area objek yang diamati. Uji validasi dilakukan dengan tiga metode yaitu uji regrei linier, RMSE (Root Mean Square Error), dan MAPE (Mean Absolute Percentage Error). Hasil validasi menunjukkan bahwa nilai R square tertinggi sebesar 0,992, nilai RMSE terkecil yaitu 0,120 celcius, dan nilai MAPE terkecil yaitu 0,306 persen. Visualisasi data termal ditunjukkan oleh heatmap dan distribusi suhu objek. Berdasarkan implementasi sistem monitoring termografi, suhu tanaman berkorelasi positif dengan suhu lingkungan yang memiliki nilai R sebesar 0,801.

The monitoring system is one of important basis in precision agriculture. Conventional monitoring has weaknesses such as operator susceptibility, data bias, subjectivity, and inaccurate results. A special monitoring area such as a growth chamber allows monitoring to run well because it is not influenced by external factors. Plants as poikiloterm living things can experience temperature gradients when carrying out biological activities. Changes in temperature can indicate diseases such as viruses, fungi, or bacteria. Thermographic monitoring of plants can support optimization and anticipation during plant growth. The purpose of this research is to design plant thermographic monitoring system based on a thermal imaging camera. The plant used as the object of observation was mustard pakcoy. This research used verification and validation methods to measure the accuracy of the system design results. The way a thermal imaging camera works was that it acquire data automatically and repeat itself every five minutes. In addition, to support the results of plant thermographic monitoring, data collection on environmental conditions was carried out in the growth chamber. The monitoring data were analyzed by using RStudio with the ROI algorithm segmentation to determine the area of the object were being observed. The validation test was carried out by three test methods, namely linear regression, RMSE (Root Mean Square Error), and MAPE (Mean Absolute Percentage Error). The validation results showed that the highest R square value is 0.992, the RMSE value is at 0.120 celcius, and the smallest MAPE value is 0.306 percent. Data visualization shown by heatmap and temperature distribution of objects. Based on the implementation of the thermographic monitoring system, plant temperature is positively correlated with environmental temperature that R value is 0.801.

Kata Kunci : data termal, sistem monitoring, termografi, thermal imaging camera.