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. Gongcheng Kexue Yu Jishu/Advanced Engineering Science

Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery Interventional Pulmonology Interventional Pulmonology (middletown, de.)
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

See More Scopes

Latest Journals
Journal of the Austrian Society of Agricultural Economics (JASAE)
Journal ID : JASAE-25-08-2021-106
Total View : 443

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 : 363

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..
Full article
Journal of the Austrian Society of Agricultural Economics (JASAE)
Journal ID : JASAE-24-08-2021-104
Total View : 474

Abstract : Rice production for family food security is an innovation. In this instance, external support services are provided when farmers integrate rice into their food production systems. The extent to which rice is successfully integrated would enhance farmer attitude, profit, and production efficiency. Therefore, this study aimed to examine whether farmers possessed favorable attitudes toward rice production, made profits and were technically efficient in growing rice. Additionally, the technical inefficiency effects of selected farm-specific socioeconomic factors on technical efficiency were evaluated. Three approaches, Likert scaling, cost accounting, and stochastic frontier production function, were applied to analyze the input-output and attitude data collected. The results indicate that while smallholder farmers possessed favorable attitudes toward local rice farming, production was economically unprofitable and technically inefficient. Low cash cost farm investment and the high cost of labor-dependent production have caused production economically unprofitable. However, area and cash costs attributed increased and significant productivity effects on output milled rice. Additionally, cultivated areas and tools provided were the most critical farm-specific factors influencing technical efficiency in smallholder rice production. Thus, given the food security aspect, a farm expansion program with external support services and farmer training programs would improve rice farmers' farm investments and technical efficiency in Bogia District..
Full article
Journal of the Austrian Society of Agricultural Economics (JASAE)
Journal ID : JASAE-16-08-2021-103
Total View : 443

Abstract : Lettuce is cultivated as a leaf vegetable sometimes for seeds and stem. Most lettuce varieties are eaten fresh and commonly served as the base of green salads. Thus, this study employed an alternative of the fermented plant juice (FPJ) in an instance of intercepting something to banana peel (BP), Arachis pintoi (AP), and Trichantea gigantea (TG). The additives of coco-water (CW) appear in BP+AP+TG, and types of nutrient solution (CNS) with the outcome on the hydroponic system of growth and yield of lettuce. The experiment was laid out following a Simple Factor arranged in RCBD with three replications and have five (5) samples per treatment per replication. The following treatments were evaluated as T1 - CW; T2 - CNS; T3 - BP+C; T4 - AP+CW; T5 - TG+CW; T6 - BP+AP (1:1)+CW; T7 - AP+TG(1:1)+CW; T8 - TG+BP(1:1)+CW; and T9 - AP+BP+TG(1:1:1)+CW. The results a significant effect on the plant height (taller height), number of leaves (more leaves), the diameter of leaves (wider leaver), and length of leaves (longer leaves) of the treatments by nutrient solution (T2) of lettuce. The T2 was comparable effect T1 but among in the treatments of the BP, AP, and TG in lettuce. The root length and root dry weight were a significant effect on the longer of roots to length and denser of the dried weight roof of T2 in the treatment of lettuce, respectively. The yield that nutrient solution (T2) had achieved the more immeasurable yield of lettuce. It shows T2 and T1 were 11.14 and 7.98 ton/ha; respectively, acquired comparable effect in the treatments of high yield of lettuce..
Full article
Journal of the Austrian Society of Agricultural Economics (JASAE)
Journal ID : JASAE-11-08-2021-102
Total View : 475

Title : Self-balancing 2-wheel robot transports vegetables uphill
by Nguyen Le Dung, Phan Huynh Lam, Le Bao Hoang,
Abstract : Self-balancing two-wheeled [1..9] vehicles can be considered as a bridge of experience from the straight-forward model with an inverted pendulum to the research and manufacture of two-legged robots and humanoid robots in the future. Unlike ordinary scooters or two-wheeled vehicles with two wheels located in front and back, the vehicle in the subject, the vehicle in the subject has two wheels lying parallel to each other, making it compact to move in environments tight space field. The problem of balancing two-wheeled robots with three degrees of freedom (3 DOF) has been studied for many years in universities and robotics laboratories around the world. The utility of this type of robot creates an advantage in solving problems in industry as well as in life. Two-wheeled robots are very flexible when moving on complex terrain, despite being an unstable system in themselves. When the robot moves on steep terrain, it automatically leans forward and keeps its weight on the two main rudders. Likewise, when traveling downhill, it leans back and keeps its center of gravity on the rudders. Therefore, there is never a phenomenon where the vehicle's center of gravity falls outside the support area of the wheels, which can cause an overturn..
Full article
SJR
International Collaboration

Our Certificates
Certificates
Certificates
Certificates
Certificates
Certificates
Certificates
Certificates
Certificates
Certificates
Certificates
Certificates
//