105 research outputs found
An Information Support System for Identifying Farming System Part I : Development of a Computer Program Package
Get PDFThis study was undertaken to develop a computer program package for identifying a farming system that was focused in the water availability analysis, the optimizing of agricultural power and selected equipment and the senditivity analysis. The computer programs for all models were developed and written in FoxBASE command language. Three databases were obtained from the farm survey i.e.; climate, crop and power. All these databases can be appended, edited, deleted or displayed by the users through a menu of database mahagement system (DBMS). They were used to evaluate the utility of the computer programs as input data. The infromation system calculates the amoun of monthly water surplus and deficit, the optimum number of agricultural power (animal or power tiller) and its matching implement required and also change in the net return of crop production system due to the change of input variables such as crop price, yield, and production material cost. The system output for each analysis can be presented in three options by screen, printer and file that can be accessed to another language
Study on trajectory control for autonomous agricultural vehicle aiming approach to the target object : automatic fertilizer refilling operation
No full textAn Information Support System For Identifying Farming System Part II: A Case Study Of Sleman Regency, Yogyakarta Province
Get PDFThe second part of the study is to validate the developed information system in a selected farming area. For the primary data, a farm survey is conducted in Sleman Regency, Yogyakarta Province. The sixty (60) household farms in 6 (six) districts are investigated which were, grouped into animal-based and tractor-based farms.
Based on the farm survey, the results described that the total annual water surplus in the study area is .792 mm that reached from November to April and water deficit is 355 mm from May to October. There is also surplus situation of number of animal-drawn and local equipment for land preparation in each district, but deficiency in number of power tiller and it\u27s matching tillage equipment. The sensitivity analysis indicated those yield and crop price are the most significant factor in determining the net return of the crop production system.
Keywords.: Information support system, farming system, water balance, sensitivity analysi
An Information Support System for Indentifying Farming System Part II : A Case Study of Sleman Regency, Yogyakarta Province
No full textThe second part of the study is to validate the developed information system in a selected farming area. For the primary data, a farm survey is conducted in Sleman Regency, Yogyakarta Province. The sixty (60) household farms in 6 (six) districts are investigated which were grouped into animal-based and tractor-based farms. Based on the farms survey, the results described that the total annual water surplus in the study area is 792 mm that reached from November to April and water deficit is 355 mm from May to October. There is also surplus situation of number of animal-drawn and local equipment for land preparation in each district, but defieciency in number of power tiller and it's matching tillage equipment. The sensitivity analysis indicated those yield and crop proce are the most significant factor in determining the net return of the crop production system
An Information Support System for Identifying Farming System Part I : Development of A Computer Program Package
No full textThis study was undertaken to develop a computer program package for identifying a farming system that was focused in the water availability analysis, the optimizing of agricultural power and selected equipment and the senditivity analysis. The computer programs for all models were developed and written in FoxBASE command language. Three databases were obtained from the farm survey i.e.; climate, crop and power. All these databases can be appended, edited, deleted or displayed by the users through a menu of database mahagement system (DBMS). They were used to evaluate the utility of the computer programs as input data. The infromation system calculates the amoun of monthly water surplus and deficit, the optimum number of agricultural power (animal or power tiller) and its matching implement required and also change in the net return of crop production system due to the change of input variables such as crop price, yield, and production material cost. The system output for each analysis can be presented in three options by screen, printer and file that can be accessed to another language
Pengembangan Model Agroekowisata Pada Sistem Usahatani Subak Untuk Meningkatkan Kemampuan Pendapatan (Income Generating Capacity) > Rp. 10.000.000,- Per Tahun Per Subak
No full textAPPLICATION OF NEURO-FUZZY CONTROLLER TO AUTONOMOUS AGRICULTURAL VEHICLE OPERATING ON UNSTRUCTURED CHANGING TERRAIN -CONTROL SOFTWARE DEVELOPMENT-
Get PDFThe control of an autonomous agricultural vehicle operating on unstructured changing terrain includes many objective diffi culties. One major diffi culty concerns the characteristics of the terrain condition that the vehicle should operate in. Problems ranged from the effects of varying terrain conditions on the autonomous vehicle sensors and traction performance through to the need to deal with the presence of unexpected situations. On unstructured changing terrain, many factors infl uence vehicle behavior such as terrain slope, lateral slippage, and so on. Therefore, it is necessary to develop a more suitable model for vehicle motion on these terrain conditions. In order to control the vehicle along a course on unstructured changing terrain, it was developed control software to enable more accurate control. The developed method to control the vehicle when operating on these conditions was Neuro-Fuzzy Controller. Result of the trained model could be described as follows; number of nodes was 193, number of fuzzy rules was 81, average testing error between simulation and ANFIS output was 0.76, while for experimental and ANFIS output was 1.61. It was concluded that the developed control system had a good accuracy to steer the vehicle
PENGARUH TINGKAT KERUSAKAN JALAN PERKEBUNAN DAN POSISI TANDAN BUAH SEGAR DI BAK TRUK TERHADAP KINERJA ANGKUTAN KELAPA SAWIT (Effect of Estate Road Damage and Fresh Fruit Bunch Position in Truck Bin on Oil Palm Transportation Performance)
Get PDFOil Palm fresh fruit bunch (FFB) transportation is a vital step in post harvest process. Transportation condition may
affects the quantity and quality of FFB as a palm oil factory raw material. Due to many estate roads are not at ideal
condition, this research was addressed to explore the relationship between road damage level and position of FFB
in truck bin to transportation performance. Transportation performance indicator were leftover fruit, level of released
fruitlets, fruits bruise index, and free fatty acid (FFA) content. The research divided into two stage. The first was
on transportation performance in collection road. The second was FFB transportation from fruit collection point to
factory, which was treated on good, moderate, and bad road. Observation was done to the FFB at bottom, middle
and upper layer of truck bin. The transportation performace indicators were analized by Anova, and continued by
Tukey method analysis if there were differentces among treatments. Result showed that level of road damage was
significantly affect transportation performace indicator i.e level of leftover fruits, but it was not significantly affect
level of released fruitlets, fruits bruise index, and FFA content. Meanwhile, FFB position in truck bin influenced level
of fruitlets releasing, and significantly influenced fruits bruise index.
Keywords: Palm oil transportation, leftover fruits, released fruitlets, bruise index, oil Pal FFB
ABSTRAK
Pengangkutan tandan buah segar (TBS) kelapa sawit merupakan satu tahap penting dalam proses pascapanen. Kondisi
pengangkutan menentukan kuantitas dan kualitas TBS sebagai bahan baku pabrik kelapa sawit. Mengingat masih
banyak jalan perkebunan yang belum ideal, penelitian ini bertujuan mempelajari hubungan tingkat kerusakan jalan dan
penempatan TBS di bak truk terhadap kinerja pengangkutan. Indikator kinerja pengangkutan yang digunakan adalah
buah restan (tertinggal di kebun), kadar asam lemak bebas (ALB), tingkat pelepasan buah (membrondol), dan tingkat
memar (indeks memar). Penelitian dibagi menjadi dua tahap, yaitu: 1) kinerja pengangkutan dari piringan pohon ke
tempat pengumpulan hasil (TPH). 2) kinerja pengangkutan dari TPH ke pabrik. Perlakuan dalam penelitian tahap dua
adalah kualitas jalan pengumpulan, yaitu jalan baik, sedang, dan buruk, dan posisi TBS di bak truk, yaitu di lapisan
dasar, tengah, dan atas. Hubungan panjang jalan rusak dengan tingkat restan buah dianalisis dengan analisis regresi,
sedang indikator kinerja pengangkutan dianalisis dengan analisis varians (Anova), dan kemudian dilanjutkan dengan
analisis satu arah pembedaan antar perlakuan dengan metode Tukey. Hasil penelitian menunjukkan bahwa kondisi atau
tingkat kerusakan jalan memberikan pengaruh terhadap indikator kinerja pengangkutan tingkat buah restan, namun
tidak secara nyata berpengaruh terhadap tingkat pelepasan buah sawit dari tandan (pembrondolan), tingkat kerusakan
buah (indeks memar) dan kadar ALB pada saat pengangkutan menggunakan truk bak kayu. Sedang posisi TBS di
dalam bak truk berpengaruh cukup nyata terhadap tingkat pelepasan buah dari tandan, dan berpengaruh nyata terhadap
indeks memar buah selama pengangkutan.
Kata kunci: Pengangkutan, restan, pembrondolan, indeks memar, TBS kelapa sawi
An Information Support System for Indentifying Farming System Part II : a Case Study of Sleman Regency, YOGYAKARTA Province
No full textThe second part of the study is to validate the developed information system in a selected farming area. For the primary data, a farm survey is conducted in Sleman Regency, Yogyakarta Province. The sixty (60) household farms in 6 (six) districts are investigated which were grouped into animal-based and tractor-based farms. Based on the farms survey, the results described that the total annual water surplus in the study area is 792 mm that reached from November to April and water deficit is 355 mm from May to October. There is also surplus situation of number of animal-drawn and local equipment for land preparation in each district, but defieciency in number of power tiller and it's matching tillage equipment. The sensitivity analysis indicated those yield and crop proce are the most significant factor in determining the net return of the crop production system
Desain Sistem Kontrol Umpan Balik pada Lintasan Traktor Tanpa Operator
No full textIn the terms of precision farming system, this research was carried out in order to develop a trajectory path control method for the autonomous tractor when approaching a target. Firstly, open loop control was considered to design a trajectory control algorithm directly, definitely and simply structure. A proposed trajectory control algorithm called parallel parking theory was developed as non-linear state equation within non-holonomic constraint. To stabilize non-linear controlled, the algorithm was derived using the state feedback linerization technique. The vehicle posture can be expressed into position, direction angle and steering angle. In a front-wheel steering vehicle, two controlling inputs, running speed and steering vehicle, two controlling inputs, running speed and steering angle. Due to the running speed is difficult to control accurately, thus only the steering angle was controlled. In order to achieve the research objective, research work was carried out to compare the performance developed control algorithm between feedback and open-loop control system. A twenty-nine Ps computer-controlled tractor with four-wheel steering and four-wheel drive was used in this research ecperiment. For local based positioning method, fan beam laser sensor,fiber optic gyro sensor and incremental type rotary encoder were installed properly on the vehicle. The experimental results showed that after modifying of the developed algorithm into a feedback control form by correcting vehicle direction angle and lateral moving distance had improved its accuracy varied up to about 95%
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