Judul: Decision Support System for In Situ Melon’s
Fruit Harvesting Time Based on Fuzzy Logic and Single Shot Detector (DSS).
Abstrak: Decision Support Systems (DSS) are wildly used in agriculture, industry, and healthcare, due to their efficient information management and decision-making activities. Melon has a considerably large genetic variability and is widely used in scientific research such as biology and genetics. In this study, we aimed to develop a system to detect the right harvesting time for melon fruits because the quality cannot be maintained after harvesting. Hence, it would be best if the harvesting is carried out at the right time, which will not affect the fruit harvested earlier. Secondly, melon fruit harvesting is done every day and not on the same day for all fruits due to environmental factors. The harvest DSS will classify melon’s categories on the plant regarding melon’s skin color by the guidance of the expert. The essential sensory factor for freshness and maturity is color, as mentioned in many studies. We use the skin color to classify melon fruit while it is on the plant into three categories: Ripe, About to Ripe, and Under Ripe, using a melon image. Firstly, localizing the melon on the plant using SSD and extracting its skin color. The input of fuzzy logic is the extracted color channels means values. The extraction of color is a challenging job because some fruits blocked with plant’s stem, root, or leaves, so, we divided the process of reaching the purest melon skin into several steps: detecting the melon fruit on the plant, segmenting the detected melon and removing the unwanted part from the skin, and finally, applying image normalization and calculate mean values for melon’s skin color. In this study, we achieved 91-100% accuracy in classifying melon ripeness levels. All images source were captured using iPhone rear camera.
Keyword: SSD-Mobilenet

Judul: Pengembangan Metode Deteksi Tingkat Kematangan Melon Varietas Cantaloupe Menggunakan Pengolahan Citra
Abstrak: Until now, determination of melon fruit harvest time which is done thrugh manual observation result in harvested fruits with low accuracy and consistency in ripeness, due to human visual limitation. Therefore, technology such as image processing is needed to replace human visual system, with ability to detect ripeness level of melon. The objectives of this research is to study and determine correlation of ripeness parameters analyzed by image processing and those measured directly. The results show that there are correlation between fruits harvested at 54 DAP (days after planting) and those harvested at 60 DAP, but not significant. The correlation of the two measurement methods is very low (r<0.5). However, using discriminant analysis, the two groups of harvested melons can be distinguished with 68.4% of successfull rate. The image parameter that can be used to distingusih the two groups of fruits is red color index of the fruit skin.
Keyword: Bogor Agricultural University, image processing, ripeness level, melon fruit

Judul: Pengaruh Variasi Laju Aliran Udara terhadap Proses Pembakaran dan Hasil Produk Pirolsis pada Kompor Biomassa
Abstrak: Pirolisis membutuhkan energi panas untuk memanaskan biomassa menjadi arang. Pemenuhan energi panas dapat dilakukan dengan mengoptimalkan proses pembakaran. Salah satu faktor penentu dalam proses pembakaran adalah jumlah udara yang dialirkan selama proses pembakaran. Kompor biomassa dari Pangala et al. (2018) akan dicoba diuji dengan memberikan variasi laju aliran udara menggunakan blower dan dianalisis pengaruhnya terhadap proses pembakaran dan hasil produk pirolisis. Laju aliran udara 0.033 kg/s, 0.035 kg/s, dan 0.038 kg/s mampu dioperasikan oleh kompor yang telah dilengkapi dengan blower menghasilkan suhu maksimum, yaitu 1178oC, 802.6oC, dan 891.5oC berturut-turut. Semakin besar laju aliran udara, semakin sedikit konsumsi bahan bakar dengan waktu pemicuan dan waktu autotermal yang relatif lebih singkat. Biochar yang dihasilkan adalah sebesar 26.33%, 27.86%, dan 29.10% untuk masing-masing variasi laju aliran udara. Hasil tertinggi biochar dipengaruhi oleh laju pemanasan pirolisis dan suhu maksimum pirolisis masing-masing sebesar 0.145oC/s dan 336.7oC.
Keyword: biochar, laju aliran udara, hasil produk pirolisis, pembakaran