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Aplikasi Sistem Monitoring Pertumbuhan Tanaman Berbasis Web Menggunakan Machine Vision Lilik Sutiarso; Atris Suyantohadi; Dody Kastono; Andri Prima Nugroho
agriTECH Vol 31, No 4 (2011)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (597.984 KB) | DOI: 10.22146/agritech.9644

Abstract

Nowadays, demand for integrating between information technology (IT) and development of agricultural system isin order to increase the productivity, efficiency and profitability in term of precision agriculture. This matter occurred due to some problems in the field, such as; unintensively monitoring activities for plant during the growing period. One of the alternative solutions to overcome the problem was introducing the machine vision technology in the farming system. The research is actually as a basic research that aims using technology of digital image processing and software of computation (mathematics) to support a function of real-time monitoring system for plant growing. The research mechanism was started from digital image processing by using an image segmentation method that can identify between the main object (plant) and others (soil, weed). Image processing algorithm used excess color method and color normalization to identify plants, to calculate crop area. Otsu method was used to convert it to binary images. The next was to calculate and analyze a percentage of the plant growing, from after planting until harvesting time. The analyzed data were stored as MySQL database format in the web server. Final output of the research was the web based monitoring instruments for plant growing that can be accessed through intranet (local area network) as well as internet technology. From the software testing, monitoring with a machine vision system has a success rate reached 70 % for identifying plants.ABSTRAKTuntutan integrasi teknologi sistem informasi dan sistem pertanian saat ini dimaksudkan guna mendukung efisiensi,produktivitas dan profitabiltas pertanian. Hal tersebut didorong oleh timbulnya permasalahan di lapangan terkait dengan belum optimalnya produktivitas tanaman yang diakibatkan antara lain, kurang intensifnya pemantauan (monitoring) tanaman pada masa pertumbuhan. Salah satu alternatif solusi untuk memperbaiki permasalahan tersebut dengan mengaplikasikan teknologi machine vision. Penelitian yang dilakukan merupakan penelitian dasar yang bertujuan memanfaatkan teknologi pengolahan citra digital dan perangkat lunak komputasi untuk mendukung fungsi monitoring pertumbuhan tanaman secara real-time. Mekanisme penelitian dimulai dengan tahap pengolahan citra digital yang menggunakan metode segmentasi untuk mengenali objek tanaman dengan objek lainnya. Algoritma pengolahan citra menggunakan metode kelebihan hijau dan normalisasi warna, sedangkan untuk menghitung luas tanaman digunakan metode  Otsu  dengan  mengubah  ke  citra  biner. Tahap  berikutnya  menghitung  prosentase  pertumbuhan  tanaman selama proses budidaya sampai dengan panen. Data hasil pencitraan disimpan dalam basisdata MySql. Hasil akhir dari pengolahan data ditampilkan sebagai informasi pertumbuhan tanaman yang ditampilkan di website. Dari hasil pengujian, sistem monitoring dengan machine vision ini memiliki tingkat keberhasilan mencapai 70 % dalam mengenali tanaman.
Keragaan Usaha Pelayanan Jasa Alat Dan Mesin Pertanian (UPJA) dalam Pemanfaatan Alat Mesin Pertanian di Kabupaten Madiun Aninda Ayu Arizka; Andri Prima Nugroho; Muhammad Shohibun Nuha
Jurnal Pendidikan Teknologi Pertanian Vol 8, No 2 (2022): Agustus
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/jptp.v8i2.31203

Abstract

Alat dan mesin pertanian (alsintan) mempunyai peran penting dalam rangka mendukung pemenuhan produksi pertanian. Sebagai salah satu usaha dalam pengaplikasian mekanisasi pertanian dan usaha untuk mempercepat adopsi alsintan, diperlukan dukungan kelembagaan dalam pengelolaannya. Salah satunya yaitu melalui suatu lembaga ekonomi perdesaan yang bergerak di bidang pelayanan jasa alsintan yang dinamakan Usaha Pelayanan Jasa Alsintan (UPJA). Pemerintah pusat saat ini sedang giat melaksanakan program mekanisasi pertanian ke seluruh pelosok tanah air, termasuk Kabupaten Madiun. Tujuan dari penelitian ini adalah untuk mengetahui keragaan UPJA terutama terkait dengan aktivitas pengelolaan dan penggunaan atau pemanfaatan alsintan dalam mendukung kegiatan usaha tani di Kabupaten Madiun. Alsintan yang paling banyak dimiliki oleh UPJA di Kabupaten Madiun adalah Traktor Roda 2 untuk percepatan pengolahan lahan. Dalam introduksi mekanisasi pertanian, UPJA konvensional di wilayah kajian belum cukup bisa berkontribusi. Sehingga diperlukan kerjasama/ keterlibatan lembaga administrasi dan lembaga ekonomi desa lain untuk bekerja bersama dengan UPJA. Setelah dilakukan proses klasifikasi data, dapat ditentukan jenis permasalahan dan pelatihan yang dibutuhkan. Pelatihan yang dibutuhkan berdasar data lapangan adalah pelatihan manajerial dan pelatihan teknis operasional UPJA. Program penguatan kelembagaan akan dilakukan dengan sasaran ketua UPJA dan program penguatan kemampuan teknis yang diberikan untuk operator dan teknisi alsintan tiap UPJA target.
Mounding technique improves physiological performance and yield of oil palm on Spodosols Suwardi Suwardi; Lilik Sutiarso; Herry Wirianata; Andri Prima Nugroho; Iput Pradiko; Eko Noviandi Ginting; Nuzul Hijri Darlan; Muhdan Syarovy; Septa Primananda; Sukarman Sukarman
SAINS TANAH - Journal of Soil Science and Agroclimatology Vol 19, No 2 (2022): December
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/stjssa.v19i2.65460

Abstract

Spodosols have been widely used for oil palm plantations, specifically in Kalimantan, Indonesia. However, they are sub-optimal for agriculture due to a lack of water and nutrient-holding capacity and a spodic layer that limits plant root development. Therefore, proper agriculture practices are needed for oil palm to enhance its potential yield. This study aims to determine the effect of the mounding technique on the physiological performance and yield of oil palms in spodosol. The study location was well-managed, with eight blocks of oil palm plantations planted in 2008 on spodosols (Typic Haplohumod) in Central Kalimantan. The mounding technique was applied to four blocks of oil palm planted in 2015, while the remaining four were left without mounding. The parameters observed were soil moisture, transpiration, number of bunches, bunch weight, and yield. The results showed that the average moisture in the mounded soil was 4% greater than the control.  Additionally, the average daily transpiration of oil palm with the mounding was up to 2.30 mm day-1 or three times higher than the control.  The implication was that the average yield of oil palm increased from approximately 1.84 to 3.71 tons ha-1 year-1 compared to no-mounding treatments. Furthermore, the average yield was 19-66% higher than the block without the mounding application.
Penerapan Biodigester Untuk Pengolahan Air Limbah Industri Tapioka Berbasis Pemberdayaan Masyarakat Berkelanjutan di Rumah Produksi Pangan Selopamioro, Yogyakarta Prieskarinda Lestari; Lilik Sutiarso; Joko Nugroho Wahyu Karyadi; Rudiati Evi Masithoh; Ngadisih Ngadisih; Radi Radi; Andri Prima Nugroho; Makbul Hajad; Aryanis Mutia Zahra
Jurnal Pusat Inovasi Masyarakat (PIM) Vol. 5 No. 1 (2023): April 2023
Publisher : Direktorat Pengembangan Masyarakat Agromaritim, Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpim.5.1.43-60

Abstract

Cassava is one of the superior commodities in Selopamioro Village, Imogiri District, Bantul Regency, Special Region of Yogyakarta. Cassava’s high productivity in the Selopamioro Village is up to 2,75 tons/ha with total land area of 415 ha. However, this potential condition still faces various challenges in the sectors of farmers, production, quality, low selling prices, limited market accessibility. Processing cassava into modified cassava flour (Mocaf) is implemented innovation at Selopamioro Food Production House (FHP) for increasing cassava added value and its diversification products. The Selopamioro is also jointly managed by the farmer groups. However, mocaf production could produce wastewater which cause odor problems in the community and environmental pollution due to improper treatment. The mocaf wastewater is acidic and contains high organic matter. The community empowerment aimed to solve odor problems in the community, implement biodigester as sustainable wastewater treatment technology, create the Selopamioro FHP as a transferring knowledge center regarding food processing with environmentally sound, implement sustainable community empowerment model. The activity was carried out in July - September 2022 with periodic monitoring. Biodigester implementation has treated the mocaf waste water with removal percentages of BOD, COD, TDS, cyanide, total ammonia were 97,47; 96,53; 1,.94; 93,75; 97,17%, respectively and increased DO up to 614,29%. The community empowerment has successfully solved odor and environmental problems since biodigester implementation, in which no more complaints from the public. Sustainable community empowerment model and local food processing center with environmentally sound also have been implemented in the Selopamioro Village.
Enabling Precision Agriculture through a Web-Based Fertilization Management System for Nawungan Selopamioro Fruit Orchards Nugroho, Andri Prima; Wijaya, Fauzan Edy; Ngadisih, Ngadisih; Masithoh, Rudiati Evi; Sutiarso , Lilik
Jurnal Ilmiah Rekayasa Pertanian dan Biosistem Vol 12 No 2 (2024): Jurnal Ilmiah Rekayasa Pertanian dan Biosistem
Publisher : Fakultas Teknologi Pangan & Agroindustri (Fatepa) Universitas Mataram dan Perhimpunan Teknik Pertanian (PERTETA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jrpb.v12i2.627

Abstract

Precision Agriculture (PA) is an integrated farming system based on information and technology for managing agriculture to identify, analyze, and manage spatial and temporal diversity information in specific locations to obtain optimum and sustainable benefits while minimizing unwanted environmental impacts. Fertilization is one of the crucial phases in agricultural production process considering technical cultivation aspects, costs, and environmental impacts. The current fertilization process at Kebun Buah Nawungan Selopamioro (KBNS) is still conventional, so there is no standard rule in determining the fertilization dose. Therefore, a PA approach is needed to provide suitable fertilizer doses for agricultural production needs. This objective of this study was to develop of a web-based fertilizer management system, integrating with orchard management to enhance accessibility and decision-making. The system calculates fertilizer requirements by analyzing soil nutrient availability (N, P, K), cultivation area, crop type and age, and available fertilizer types. The development followed the waterfall methodology, encompassing stages from requirement analysis to system maintenance.  The outcome is a web application that manages land assets, administrative activities, and fertilizer needs tailored to specific land blocks, crop characteristics, and nutrient inventories. Subsequent validation against field conditions ensures the accuracy of its recommendations. Although comprehensive testing confirmed a 100% success rate in functionality, the system currently operates within a limited scope of variables. Future enhancements are planned to incorporate broader agronomic factors, such as soil pH and texture, to augment the system's precision. Despite its limitations, this system represents a significant technological advance in precision agriculture, promising to improve fertilizer application efficiency and support sustainable farming practices.
Design and Implementation of an IoT-Based Irrigation Management System for Alternate Wetting and Drying (AWD) Technique in Rice Cultivation Kusuma, I Nyoman Teguh Yudha; Budisanjaya, I Putu Gede; Sumiyati, Sumiyati; Nugroho, Andri Prima; Sulastri, Ni Nyoman; Tika, I Wayan
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 4 (2025): August 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v14i4.1256-1267

Abstract

Rice irrigation management is facing considerable challenges, particularly in improving water use efficiency. This study aimed to develop an irrigation management system integrating the Alternate Wetting and Drying (AWD) technique with Internet of Things (IoT) technology. The system was constructed using ESP32 microcontroller, TOF10120 distance sensor for water level monitoring, an SD card module for data logging, 20×4 I2C LCD for real-time display, an optocoupler relay module for system control, and DS3231 real-time clock for timekeeping. Remote monitoring and control were enabled via the Blynk platform. System design was conducted using AutoCAD software, circuit simulations were performed using the Wokwi platform, and field testing was implemented in a rice cultivation area in Tabanan, Bali. Water level measurements were obtained using the TOF10120 sensor, and measurement accuracy was evaluated using MAPE (Mean Absolute Percentage Error). The system operated using a 100 WP solar panel and battery, ensuring sustainable and autonomous functionality. Results demonstrated that the IoT-based AWD irrigation management system successfully automated irrigation scheduling according to crop water requirements, achieving a high accuracy with a MAPE of 3.83%. Integration with the Blynk platform provided real-time monitoring and remote control functionalities, offering farmers an effective and user-friendly tool for optimizing irrigation water management.   Keywords: Alternate Wetting and Drying (AWD), Automatic Irrigation System, Blynk platform, IoT, Irrigation management, Sensor.