Soil texture is one of the primary soil physical properties that largely affects agricultural machine performance. Before implementing an agricultural machine at the farm level, it is important to test the machine to gain an understanding of its technical functionality and economic viability to get the best output from it. The research was carried out to assess how soil texture influences the performance of machinery, aiming to determine the effectiveness of agricultural equipment on a particular type of land. Soil samples were collected from nine different fields, and their textures were determined using hydrometer analysis. To correlate soil textural classes with machine performance, machinery data—effective field capacity, forward speed, and field efficiency—were calculated by operating a combine harvester on the study areas during the harvesting season of Boro rice. Two types of soil were identified: loamy sand and sandy loam. The findings of the study showed that machine efficiency has a positive correlation with sand proportion and a negative correlation with clay and silt fractions. It was observed that soil with loamy sand-type textural classes demonstrated better field efficiency, higher effective field capacity, and higher forward speed compared to sandy loam soil. Small and irregularly shaped fields also caused variation in performance. The study identified significant variation in speed between these two types of soils but no significant effect on effective field capacity or field efficiency at the 5% level of significance. The outcomes of this research will help farmers make informed decisions when selecting appropriate equipment for their agricultural operations.

This study investigates the relationship between soil physical properties and the efficiency of combine harvesters, focusing on the development of a composite model that links these factors. Agricultural productivity is increasingly dependent on mechanized equipment, with combine harvesters playing a vital role in the harvesting process. However, their performance is significantly influenced by soil conditions such as texture, moisture content, bulk density, and bearing capacity. Using data from various fields in Sylhet, Bangladesh, the study employs multiple linear regression to create a model predicting harvester efficiency based on these soil properties. The findings reveal that sandy loam soils provide optimal conditions for harvesting efficiency, while loamy sands lead to reduced performance due to lower bearing capacity and increased slippage. The developed composite model accounts for 82.2% of the variability in field efficiency, offering a predictive tool for improving mechanized farming practices. This research contributes to precision agriculture by offering strategies for optimizing machinery operations and reducing operational costs. It also provides insights for agronomists, machinery manufacturers, and farmers to enhance sustainability, profitability, and overall efficiency in agricultural operations.

This study was conducted to examine the Rural Transport Accessibility Index and improve the connectivity of the rural road network for agricultural development in the Sunamganj district, Bangladesh, and facilitate the distribution of agricultural products as well as its accessibility to people. The demographic, socioeconomic, and agricultural data of eleven Upazila’s were obtained from the Bangladesh Bureau of Statistics (BBS) in order to fulfill the goals of this study. The administrative area boundary and transport network data were collected from the Local Government Engineering Department (LGED) and Roads and Highways Department (RHD), respectively. Rural Transport Accessibility was estimated using ArcGIS-Arc Map. Analyzes were performed using the Microsoft Excel Analysis Tool pack. To determine the priority ranking, Data Envelopment Analysis (DEA) and correlation analysis were used. The outcome of this method helped in ranking the Dharamapasha, Derai, Jagannathpur, Sullah, Tahirpur, Dakshin Sunamganj, Jamalganj, Chhatak, Dowarabazar, Bishwamvarpur, and Sunamganj Sadar Upazilas respectively inspect accessibility level. Improving rural road network considering agricultural productivity per kilometer and prioritizing the road ranking was prepared from the maximum habitations within the desired distance. These 121 links (Upazila Distance Matrix) were calculated. From Bishwamvarpur to Sunamganj Sadar, the maximum utility value was 12281.0. This link will be upgraded as the priority, and Jagannathpur to Sullah links will be upgraded as the least priority because of its minimum value of 149.9.

The rapid rise in cement prices and the environmental consequences associated with cement production have raised an urge to look for an alternative to cement. There is an increasing need to recycle waste while minimizing environmental impact. This research aimed to develop affordable and sustainable construction elements by using waste materials as a partial substitute for cement. The goal was to lower construction costs, and reduce environmental impact, all while maintaining the structural integrity of the slabs. M15-grade cement mortar was used in the experimental study, with 15% of the cement replaced by waste with pozzolanic characteristics. A constant water–cement ratio of 0.45 was maintained throughout. The specimens were tested, and the results were compared to control specimens to evaluate the impact of waste incorporation on structural performance, weight reduction, and cost–effectiveness. Experimental testing revealed varying outcomes depending on the type of waste material used. While the inclusion of waste materials generally reduced strength, brick powder retained 81.67% of the compressive strength, and ceramic tile powder maintained 78.76% of the flexural strength compared to the control. Sawdust, however, caused significant strength reductions, limiting its potential for structural use. A key finding is that the incorporation of waste materials led to a 6.13% reduction in the cost of construction elements. All waste materials contributed to considerable weight reductions, indicating lighter structures and potential savings in material and labor costs. The study demonstrates the potential for integrating pozzolanic waste into ferrocement technology, paving the way for more sustainable, lightweight, and cost–effective building materials.