Authors :
Naveen Srinivas Pagadekalla; ShubaShree D. C.
Volume/Issue :
Volume 11 - 2026, Issue 5 - May
Google Scholar :
https://tinyurl.com/2kxkevvb
Scribd :
https://tinyurl.com/5n7pjwuf
DOI :
https://doi.org/10.38124/ijisrt/26May145
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Land clearing and planting services are critical for improving agriculture, forestry, and infrastructure
development. However, these services are often conducted informally and manually, presenting negative impacts like
inefficiency, lack of traceability, and identifying trustworthy service contractors. This paper discusses LandSphere, an
internet-based digital platform for service contractors and landowners that aims to efficiently connect service contractors
and landowners via a central service management platform. Indeed, landowners can post their service requests via
LandSphere, while contractors can apply for specific services via their skill and availability levels. An intelligent broker
matches service requirements and contractors via an intelligent algorithm that matches services and contractors.
LandSphere uses innovative internet technologies for platform construction, data storage, and service scalability and
security. Experimental results confirmed that LandSphere improves service coordination, minimizes manual intervention,
and improves decision-making for land clearing and planting services.
Keywords :
Land Management, Digital Platform, Plantation Services, Intelligent Matching, Web Application.
References :
- R. S. Pressman and B. R. Maxim, Software Engineering: A Practitioner’s Approach, 9th ed., McGraw-Hill Education, 2019.
- I. Sommerville, Software Engineering, 10th ed., Pearson Education, 2016.
- A. Silberschatz, H. F. Korth, and S. Sudarshan, Database System Concepts, 7th ed., McGraw-Hill, 2019.
- Node.js Foundation, “Node.js Documentation,” 2023.
- Express.js, “Express Framework Documentation,” 2023.
- React Team, “React – A JavaScript Library for Building User Interfaces,” 2023.
- MongoDB Inc., “MongoDB Documentation,” 2023.
- Food and Agriculture Organization of the United Nations (FAO), “Digital Technologies in Agriculture and Land Management,” 2022.
- World Bank Group, “Information and Communication Technologies for Agriculture,” 2021.
- ISO/IEC 25010, “Systems and Software Quality Models,” International Organization for Standardization, 2011.
Land clearing and planting services are critical for improving agriculture, forestry, and infrastructure
development. However, these services are often conducted informally and manually, presenting negative impacts like
inefficiency, lack of traceability, and identifying trustworthy service contractors. This paper discusses LandSphere, an
internet-based digital platform for service contractors and landowners that aims to efficiently connect service contractors
and landowners via a central service management platform. Indeed, landowners can post their service requests via
LandSphere, while contractors can apply for specific services via their skill and availability levels. An intelligent broker
matches service requirements and contractors via an intelligent algorithm that matches services and contractors.
LandSphere uses innovative internet technologies for platform construction, data storage, and service scalability and
security. Experimental results confirmed that LandSphere improves service coordination, minimizes manual intervention,
and improves decision-making for land clearing and planting services.
Keywords :
Land Management, Digital Platform, Plantation Services, Intelligent Matching, Web Application.