In the realm of training models for object detection and segmentation, with a particular focus on maximizing performance on the Mini COCO 2014 dataset, this research presents a study on improving object detection and segmentation accuracy using sophisticated deep learning models. The objective is to maximize object detection performance while minimizing resource consumption and error rates on mid-range hardware. In order to increase overall accuracy and more accurately capture object boundaries, the method entails fine-tuning deep learning models such as Mask R-CNN and DETR.........

[1]. Andure, & Abhishek, et al. (2023). Andure, Abhishek, et al. "Vehicle Detection Algorithm Analysis. Andure, Abhishek, et al. "Vehicle Detection Algorithm Analysis, 11.
[2]. Ershat Arkin, Nurbiya Yadikar, Xuebin Xu, Alimjan Aysa, & Kurban Ubul. (21 October 2022). A survey: object detection methods from CNN to transformer. SpringerLink, 30.
[3]. Goswami, P., Aggarwal, L., Kumar, A., Kanwar, R., & Vasisht. (2024 Sep 1). Real-time evaluation of object detection models across open world scenarios. Applied Soft Computing, 163.
[4]. Mingxing Tan, Ruoming Pang, & Quoc V. Le. (05 August 2020). EfficientDet: Scalable and Efficient Object Detection. 10.
[5]. Sakshi, & Vinay Kukreja. ( 22 August 2022). Image Segmentation Techniques: Statistical, Comprehensive, Semi-Automated Analysis and an Application Perspective Analysis of Mathematical Expressions. SpringerLink, 98.

A MIMO (Multiple input multiple output) antenna system with two elements, which are designed with coupled grounds for UWB application is presented. The MIMO antenna system consists of Butterfly shaped patches with circular slots at the centre and a defected ground structure (DGS) with inverted F-shaped stub to enhance antenna impedance matching. The operating frequency is taken from 2 to 14 GHz. This antenna's area is 35mm × 50mm and is mounted on single layer substrate of FR-4 with 1.6mm thickness and dielectric constant ↋r =4.4. The observations of antenna are showcased with the help of S11, ECC, VSWR, DG and TARC. The results are analysed which shows that the designed two element MIMO antenna array can effectively be utilized for UWB applications.

Keywords: MIMO antennas, Ultra-Wideband (UWB) Defective Ground Structure (DGS), Envelop Correlation Coefficient (ECC), Voltage Standing Wave Ratio (VSWR), Diversity Gain (DG), Total Active Reflection Coefficient (TARC).

[1]. Wu, A; Zhao, M; Zhang, P; Zhang, Z. "A Compact Four-Port MIMO Antenna for UWB Applications", Sensors,22,5788, 2022. https://doi.org/10.3390/s22155788.
[2]. "Federal Communications Commission Revision of Part 15 of the Commission's Rules regarding Ultra-Wideband Transmission System from 3.1 to 10.6 GHz in federal Communications Commission Washington, DC: ET Docket, pp. 98-153, FCC, 2002.
[3]. Kaiser, T; Zheng, F; Dimitrov, E "An Overview of ultrawide-band systems with MIMO". Proceedings, IEEE, 97, 285-312,2009.
[4]. Sipal D, Abegaonkar MP, Koul SK "Compact band-notched UWB antenna for MIMO applications in portable wireless devices" Microwave optical Technology Letters., 58: 1390-1394, 2016.
[5]. C.Y, Huang and W.C Hsia, "Planar Elliptical antenna for Ultra-wideband Communications", Electronics letter Vol. 41, No. 6, pp. 40-41, 2005.

Farm Connect is a game-changing mobile application which allows farmers to better manage their farming activities. It provides a comprehensive solution by offering services such as machine rentals, agri-financing, market linkages and counsel. Its features allow one to manage their day-to-day operational activities efficiently and increases productivity by including the features such as transaction history, current mandi point, price and available vendor information. Moreover, the platform enhances the financial mechanisms of farmers by enabling access to agri-credit as well as all the granular transaction details. Created by using Java programming language for backend, XML for front end designs.......

Keywords: Farm Connect, Unified Farming Platform, Sustainable Agriculture, Market Connectivity, Real-Time Data Synchronization, Farmer Empowerment, Mobile Application, Financial Transparency.

[1]. Daniel Kpienbaareh, Rachel Bezner Kerr, Isaac Luginaah, Jinfei Wang, Esther Lupafya, Laifolo Dakishoni, Lizzie Shumba, "Spatial and Ecological Farmer Knowledge and Decision-Making about Ecosystem Services and Biodiversity", Jul.2020, https://www.mdpi.com/2073-445X/9/10/356
[2]. Manish Kumar, Lalit Agrawal, "Empowering Farming Community Through Mobile Applications: Changing Scenarios",Mar.2020,https://www.researchgate.net/publication/341726280_Empowering_Farming_Community_Through_Mobile_Applications_Changing_Scenarios
[3]. Maria Kernecker, Verena Seufert, Mollie Chapman, "Farmer-centered Ecological Intensification", April.2021,
https://www.sciencedirect.com/science/article/abs/pii/S0308521X21000950
[4]. Kumar, Mr. Sahithi, Ms. Sheerin, Ms. Aakanksha, Mr. Reddy, "Uplifting the Farmer Through ConnectedEcosystems",Jan.2022,https://ymerdigital.com/uploads/YMER210478.pdf
[5]. Rajinder Peshin, "Sustainable Agricultural Innovations for Resilient Agri-Food Systems",2022 ,https://www.academia.edu/91933382/Sustainable_Agricultural_Innovations_for_Resilient_Agri_Food_Systems

The Coconut Harvest Mechanization Robot (CHMR) is an autonomous device intended to optimize the coconut harvesting process. Merging sophisticated sensors, robotic limbs, and machine learning technologies, the robot accurately locates and collects ripe coconuts. It independently maneuvers through the plantation, recognizing obstacles and modifying its route as needed. By automating this labor-intensive task, the CHMR minimizes dependence on manual labor, reduces operational expenses, and improves harvesting effectiveness. This robot serves as an excellent solution for extensive coconut farms, providing a scalable approach to satisfy the rising global demand for coconut-based products. The CHMR marks a major advancement in agricultural mechanization, boosting productivity and alleviating physical burdens on workers while promoting sustainable harvesting methods.

Keywords: Sophisticated Sensors, Agircultural Mechanization, Robotics Limbs..

[1]. Mobile Operated Coconut Harvesting Machine Research Paper By Cousalya C1 , Deepalakshmi C2 , Keerthika V 3 , Malini M 4 , P. A thiya5
[2]. Amaran: An Unmanned Robotic Tree Climber By Mr. Rajesh Kanan And Mr.Shakthiprasad.M
[3]. A Survey On Exisiting Cocount Tree Climbers By Mr. Rajesh Kanan And Mr.Shakthiprasad.M
[4]. Design and Fabrication of Coconut Harvestor: COCOBOT by Mani A, Jothilingam.
[5]. A Survey On Robotic Coconut Tree Climbers by Mr. Sreekanth Makkal.

This study explores the use of machine learning and computer vision systems for object detection, specifically for identifying screws and their suitable bits. The system considers various parameters such as screw length and drive. It uses a neural network trained on pre‑established and labelled images of various screws. Different neural networks, YOLOv8 and YOLO‑NAS, are tested focussing on options that offers a higher accuracy and lower performance losses, neglecting versions that have a higher computational speed but less accuracy. YOLO‑NAS attained with mAP@50 0.982 and recall@50 0.995 higher values than YOLOv8. Result of a verification process showed that YOLO‑NAS detected 82,1% out of 952 real time images correctly.....

Keywords: Screw Detection; Automation in Manufacturing; Computer Vision; Neural Network; YOLO‑Architecture.

[1]. R. Klingel, Anziehverfahren für hochfeste Schraubenverbindungen auf Basis akustischer Emissionen, 2nd ed., ser. Forschungsberichte IWB. Utz Verlag, Nov. 2018, vol. 169. [Online]. Available: https://www.mec.ed.tum.de/fileadmin/w00cbp/iwb/Institut/Dissertationen/169_Klingel_a5.pdf
[2]. J.-M. Peth, Einflüsse auf das Vorspannkraftrelaxationsverhalten von Schraubenverbindungen im Leichtbau. Universitätsbibliothek Siegen, 2022. [Online]. Available: https://dspace.ub.uni-siegen.de/bitstream/ubsi/2176/3/Dissertation_Peth_Jens_Michael.pdf
[3]. W. Lori, "Die Schraubenverbindung - Iststand und Entwicklungstendenzen. Schraubenverbindungen: Berechnung, Gestaltung, Anwendung." in VDI-Berichte, vol. 1903. VDI Verlag, Oct. [Online]. Available: https://katalog.slub-dresden.de/id/0-503583170
[4]. E. V. Gomez, Development of Screw Detection and Screw Orientation Detection System for Screw Unfastening. Thesis, Department of Mechanical and Aerospace Engineering, California State University, Long Beach, 2023. [Online]. Available: https://scholarworks.calstate.edu/downloads/xg94hx05x
[5]. A. Humaizi Hilmi, "RESEARCH POTENTIAL IN SCREWS IN MACHINE COMPONENTS: Guidelines for Postgraduates and Researchers," Jun. 2022. [Online]. Available: https://www.researchgate.net/publication/361134119_RESEARCH_POTENTIAL_IN_SCREWS_IN_MACHINE_COMPONENTS_Guidelines_for_Postgraduates_and_Researchers

The Ganjiang River Basin, as an important ecological barrier and cultural heritage region in the middle and lower reaches of the Yangtze River, holds significant historical and cultural value. Its temple and garden complexes are not only important cultural heritages but also play crucial roles in ecological protection and tourism development. This study explores the protection and development of these complexes from four aspects: protection principles, cultural heritage protection goals, protection measures, and development strategies. First, it clarifies the principles of protection, including prioritizing ecological protection and integrating cultural inheritance with natural restoration. Second......

Keywords: Ganjiang River Basin, Temple and Garden Complexes, Protection and Development.

[1] Zhang, T., Hu, Y. Z., Lei, T. T., & Hu, H. H. (2023). 'A GIS-based study on the spatial distribution and influencing factors of monastic gardens in Jiangxi Province, China', Frontiers in Environmental Science, 11.
[2] Guo, Q. E., & Zhong, Y. X. (2016). 'Suitability evaluation of tourism development of religious sites in Jiangxi Province %J Geographical Research', 35: 377-389.
[3] Liu, Y. (2016). 'Research on Monastic Gardens in Northeast Chongqing', Master's Thesis.
[4] Ma, Y. X. (2004). 'Environmental characteristics of monastic gardens in Yunnan and their protection and development', Master's Thesis.
[5] Sun, W. (2021). 'Research on the conservation and renewal strategies of historical gardens based on elderliness', Master's Thesis.