Journal of the Austrian Society of Agricultural Economics (JASAE) (ISSN:18158129, E-ISSN:18151027)

Aim and Scope

Aim-

Journal of the Austrian Society of Agricultural Economics (JASAE) is an Open Access International Journal Which Aims to Publish High-quality Scientific Articles in the Field of Horticulture, Agriculture and Soil Science, Agronomy; Biology; Economics Academic Field: Mathematical and Statistical Methods in Economics; Agriculture and Animal Husbandry; Forestry and Many More. Our Aim is to Give an Open Space to Scientists Who Can Publish and Deliver Scientific Knowledge About the Relevant Field for the People in the Society. Asia Life Sciences Technology Reports of Kansai University Dokkyo Journal of Medical Sciences Tagliche Praxis

Scope-

Journal of the Austrian Society of Agricultural Economics (JASAE) is a peer-reviewed journal. The journal seeks to publish original research articles that are hypothetical and theoretical in its nature and that provide exploratory insights in the following fields but not limited to:

Horticulture Agriculture Soil Science Agronomy
Biology Economics Biotechnology Agricultural chemistry
Soil development in plants aromatic plants subtropical fruits
Green house construction Growth Horticultural therapy Entomology
Medicinal Weed management in horticultural crops plant Analysis Tropical

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Latest Journals
Journal of the Austrian Society of Agricultural Economics (JASAE)
Journal ID : JASAE-19-09-2021-109
Total View : 376

Title : Spatial Market Integration of Red Chilies in Indonesia
by Dahlia Nauly, Alif Haidir Adana, Hafiz Dwiputro,
Abstract : Red chili is a horticultural commodity that has strategic and economic value. Red chili production is concentrated in certain areas. In addition, the difference in harvest time and its perishable characteristics add to the uncertainty of the amount of supply that can meet the demand for red chili. When there is an imbalance in supply and consumption, it causes parts of Indonesia to experience excess and shortage of red chili which then has an impact on price differences. Price differences lead to inter-provincial trade, thus encouraging market integration. The purpose of this study was to analyze the spatial market integration of red chili producers in Indonesia. The data utilized Agricultural Producer Price Statistics Foodcrops, Horticulture and Smallholder Estate Crops Subsectors from 2008 until 2020. The integration of the red chili commodity market in Indonesia is carried out using the Error Correction Model (ECM). The results indicate that chilies market in Indonesia was spatially integrated. The price information was transmitted along the other regions. The speed of convergence of chilies prices to equilibrium varies. The provinces in Java island has high magnitude of adjustment coefficient..
Full article
Journal of the Austrian Society of Agricultural Economics (JASAE)
Journal ID : JASAE-13-09-2021-108
Total View : 379

Title : STUDY OF POTATO TUBER MOTH BIOLOGY (PHTHORIMAEA OPERCULELLA), IN THE VEGETATION PERIOD, IN KORCA REGION
by Besnik Skenderasi, Gjergji Mero, Nikolin Karapanco, Shpend Shahini,
Abstract : Potato tuber moth (Phthorimaea operculella) [1] (Zeller), is a pest mainly of solanaceous plants, especially for potato crop. In the period of full potato germination, the adult insects after mating begin to lay eggs mainly in leaves or tubers throughout the vegetation. When there are soil cracks or potato seed is sown shallow, moths prefer to lay eggs near potato buds. In the leaves it forms galleries between the two epidermis of the leaf or in the stalk and in the tubule. The damage in the leaves does not turn out to cause major damage, but in potato tubers the damage can go up to 100% of production, both in the field and in the storage. Tubers are damaged by reducing the quantity and quality but also the values as planting material. During the vegetation, the potato crop is damaged by 4 generations of the pest, a fifth generation begins to develop during October in the potato waste left on the ground after harvest, in tobacco, tomatoes, sugar beets, weeds or in storage. Farmers find it very difficult to control the development of this pest, despite the chemical treatments carried out against this pest. Cultivation of resistant species, as well as the application of good agricultural practices such as frequent irrigation with reduced water rates, planting potato seeds at a depth of not less than 10 cm can ensure a good yield. Pest monitoring mainly through sexual pheromone use and the application of chemical treatments immediately after the first larvae hatching from the egg, reduce significantly yield damage in both quantity and quality..
Full article
Journal of the Austrian Society of Agricultural Economics (JASAE)
Journal ID : JASAE-01-09-2021-107
Total View : 433

Title : Indonesian Agriculture-Based Creative Industry Challenges and Strategies – A Case Study of Rattan
by Donald Crestofel Lantu, Mia Rosmiati, Sri Herliana, Rendra Chaerudin, Nur Lawiyah,
Abstract : International trade, especially in export transactions, has become a special concern for both the Government and business owners who participate in it. Indonesia as an agricultural country, has agricultural resources that encourage export trade. These agricultural resources are not only sold in raw conditions, but also developed into creative industry products. Rattan is Indonesia's mainstay export commodity, the policy of banning the export of rattan in its raw condition encourages creative industries to process rattan into finished products. There is little literature on international trade in export commodities. In meeting this gap, this study discusses and analyzes more deeply the challenges and strategies of the Indonesian agriculture-based creative industry, especially in the rattan commodity. This study uses a literature review approach from various types of data, with RCA, SWOT, and TOWS analysis approaches..
Full article
Journal of the Austrian Society of Agricultural Economics (JASAE)
Journal ID : JASAE-25-08-2021-106
Total View : 441

Title : Building digital agriculture maps based on drone and AI
by Nguyen Le Dung, Nguyen Le Dung, Vo Quoc Long, Pham Ngoc Tuan,
Abstract : With increasingly advanced technology, drones [1- 11] become popular and applied in many fields, in which agriculture is a large area that digital mapping platforms are very focused on. We apply drones to collect image information, GPS, IMU sensors on a large scale, from which to combine into a digital map system (Ransac, Mosaic, Stitching.). The vegetation spectral indices separated from the near-infrared, infrared and red bands are intermediate parameters from which different characteristics of vegetation such as biomass, index can be seen. leaf area, photosynthetic capacity, and total seasonal biomass products that plants can produce. These characteristics are related and highly dependent on the type of vegetation cover and weather, physiological, biochemical and pest characteristics… Approximate technology for monitoring the characteristics of different ecosystems to recognize standard forms and comparisons between them. From this data, we evaluate the quality of plants through the Normalized difference vegetation index (NDVI), in addition, we use the Object detection (Yolo) model to classify plants, animals, and forest fires on the data map..
Full article
Journal of the Austrian Society of Agricultural Economics (JASAE)
Journal ID : JASAE-25-08-2021-105
Total View : 361

Title : Apply artificial intelligence to the robot picking strawberries
by Nguyen Le Dung, Phan Huynh Lam, Huynh Thien Nhien,
Abstract : Smart agriculture [1-10] is becoming more and more popular, from monitoring systems in greenhouses to agricultural robots. Today, the application of robots to agriculture is not unfamiliar, particularly with the development of AI, that we can create robots that automatically harvest agricultural products [13]. Some parts of the world focus on NIR cameras to process identification under models RCNN, Faster R-CNN, VOC ... in this article, we mention the use of Yolo v3 to identify strawberries by Real sense D435i 3D camera, then through the evaluation function to select a strawberry to locate the strawberry in the space for easy harvest robot, to identify the strawberry in the space we combine the 3 direction property The axis in the IMU has built-in camera and 3D image space, the harvesting process is a dynamic process, so we will use anti-noise filters, target orientation, IMU sensor noise and follow the trajectory. transfer, ensuring the picking mechanism does not occur instability when identification error and sensor impact on the system. Where the anti-noise filter for IMU sensor status is extended Kalman and for the motion process is a smooth line incorporating gauges to eliminate peak noise. In this section, we only focus on the application of strawberry identification and identification in space; In the next direction, we will evaluate the SLAM combination robot system for self-propelled problem..
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