Journal of the Austrian Society of Agricultural Economics (JASAE)

Abstract : “Petroganik” fertilizer is organic fertilizer derived from chicken and cow manure processed through a manufacturing process and has a high C-organic and macronutrient content. So, the research was conducted by testing the various doses of petroganik fertilizer on the growth and yield of batik spinach (Amaranthus tricolor L) in Alfisol soil, Sorong Regency. This research was conducted using a Randomized Block Design (RBD) with the treatment of 4 doses of Petroganik fertilizer and repeated 3 times so that there were 12 experimental plots. The dose of petroganik fertilizer used in this study consisted of P0= without giving petroganik fertilizer (control); P1= application of 1 kg/m2 of petroganik fertilizer beds; P2= application of 2 kg/m2 of petroganik fertilizer beds; and P3= application of petroganik fertilizer to 3 kg/m2 beds. Each experimental plot was taken with as many as 10 batik spinach plants to be used as sample plants. So, the total sample plants used were 120 plants. Based on the results of the study, it is known that the application of Petroganik fertilizer to the soil can increase the fertility status of Alfisol soil and petroganik fertilizer has a very significant effect on the growth and yield of batik spinach (Amaranthus tricolor L.) plants. The dose of petroganik fertilizer of 2 kg/m2 beds resulted in better plant height, leaf number, leaf area, stem diameter, and wet weight of batik spinach plants than the treatment at a dose of 3 kg/m2 beds and a dose of 1 kg/m2 beds..
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Abstract : The outbreak of the covid pandemic makes automation more and more promoted autonomous robots (AGVs) are increasingly essential. We see many self-propelled robots with different navigation technologies such as IMU, GPS, line tracking, RFID, Camera... In this paper, we introduce an application of SLAM and UWB so that the robot can be self-propelled in the production plant or harvesting farm. This is a new direction, and the world is also approaching to help self-propelled robots can be more perfect..
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Abstract : The growth, trend, and structural stability of agricultural production – food grains, as well as the area and yield of agricultural production reflect the contribution and stability of an economy. The objective of this research is to evaluate the growth, trend, and the structural stability of food grain production, area under cultivation, and yield per hectare in India before (1980-2000) and after the new agricultural policy (2001-2020). To accomplish the objectives, secondary data was gathered from the Handbook of statistics on the Indian economy (2020–21) by RBI. To estimate and compare the growth of production, area, and yield of the food grain, the structural stability regression model, t test, and trend line were used. According to the study, average production and yield increased by 42.54 percent and 44.23 percent, respectively, from 1980 to 2000 to 2001-2020, although the area decreased by -1.50 percent. Food grain production and yield are increasing, although the compound annual growth rates for production, area, and yield are -14.41 percent, -265.13 percent, and -28.69 percent, respectively. The study also discovered that food grain production and area under cultivation in India has a structural change over time. Increased food grain production was primarily driven by increased area, yield per hectare, and shifts in production patterns. As a result, the focus should be on expanding the area by utilizing adequate land and increasing yield through technical innovation, agricultural research, and training, as well as boosting policy implementation in India..
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Abstract : Time-use poverty is a topical policy issue which requires urgent public discourse. Despite other natural resources endowments, agricultural households are facing competing claims and pressure on time allocation. And, given the paucity of studies on the analysis of the time-use for both agricultural and non-agricultural work related activities, and the time allocated for leisure, this study investigated if there an indication of time poverty among the farmers. This research relied on the data elicited from a random sample of 368 smallholder farmers in South-West Nigeria, by interrogating the gender differentials of time-use resource allocations to productive and non-productive activities by the smallholder farmers, using the Foster-Greer-Thorbecke (FGT) class poverty decomposition measures/indices, as well as the maximum likelihood estimation of heteroskedastic probit model. Findings indicated that women spent more time on work related activities, while men clearly spent marginally higher time on leisure related activities, suggesting that female farmers are disproportionately vulnerable to time poverty, comparatively. Given the FGT distributionally-sensitive measure of time poverty, there is a clear inequality among the time-poor population groups which violates the time transfer-sensitivity axiom. Findings from heteroskedastic probit model indicated gender, years of formal education, family size, involvement in secondary livelihood activity, and importantly, time spent on leisure are significant predictors of time poverty among the farmers. The study underscores the need to strike a balance between competing claims and leisure time, which has not been given attention by previous studies, and to develop appropriate gender-just policies for empowerment and global prosperity..
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Abstract : We investigate the relations among risk attitudes, farmers’ knowledge, management ability and agricultural productivity. The results indicate that most of the farmers have limited knowledge in agricultural production while being risk averse in general. Farmers rely their decisions on their subjective experience or self-assessment rather than on scientific evidence. The farmers have stronger technical knowledge and decision-making ability in livestock production than that in crop production. Furthermore, the stronger willing to take risks associates with knowledge in livestock but not that in crop production and with technical knowledge and decision-making ability but not to their agricultural performance significantly..
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