The Indian Society of Agricultural Engineers
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Contributions of Women in Agricultural Engineering and Technology
No full textAdvancement of science and technology in different fields has created new vistas for progress and well-being of humankind. Agriculture is one such field that continues to benefit from new knowledge and technological breakthroughs. An important aspect of all these changes that was missing earlier, but has gradually been realized is the scope and opportunities of agricultural knowledge & technologies for women.Agriculture is a crucial sector for human survival, and women’s contribution to it is undeniable. It is an important engine of growth and poverty reduction. India’s economic security is heavily dependent on agriculture. In terms of employment, it is the most important source of income, especially for rural women. Women play a significant and crucial role in agricultural development and allied fields including, main crop production, livestock production, horticulture, post-harvesting operations, agro/social forestry, fishing etc. in addition to household activities. However, the nature and extent of their involvement is different in various agro-production systems. The mode of female participation in agricultural production varies with the landowning status of farm households. Their roles range from managers to landless labourers. In India, about 74 per cent of the entire female workforce is engaged in agricultural operations, but the nature and extent of women’s involvement in agricultural operations varies greatly from region to region
Post-Harvest Management: Technologies, Opportunities, and Bridging the Gaps for Food Security
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Carbon footprint pattern among submersible pumps at farmers’ field in selected district of Madhya Pradesh
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Mass and Volume Modeling of Strawberry Fruits (Arbutus unedo L) Based on Engineering Properties and Image Processing Approach
No full textStrawberry fruits are often graded based on size, shape, and colour, but it could be more efficient to grade them using mass or volume. Therefore, the relationships between the physical characteristics of fruit and its mass or volume are needed. Present study aims to predict the mass and volume of strawberry fruit based on measured values of selected physical parameters, and develop single and multivariate regression models like linear, quadratic, power, and exponential for prediction. Further, the mass and volume models were presented under different categories such as based on dimensions (including length, width, perimeter, and projected area), volumes, and density values. Among these models, quadratic was found appropriate. The experimental data analysis showed that the R2 of the quadratic model for the mass and the length, width, perimeter, and projected area were 0.893, 0.864, 0.908, and 0.909, respectively. In contrast, for the volume, R2 values were 0.887, 0.872, 0.905, and 0.910 for length, width, perimeter, and projected area, respectively. The results revealed that mass and volume modeling based on the projected area were the best-fit models with better prediction accuracy. The highest coefficient of determination (R2) was obtained for mass modeling of strawberries based on measured volume as R2 = 0.975. Mass modeling was recommended as the most accurate, reliable, and appropriate modeling compared to volume modeling. The findings of these study can be used as hyperparameters in automated grading system based on volume or weight of the individual fruit