Interdisciplinary Perspectives on Sustainable Agricultural Management: Integrating Computer Science, Legal Frameworks, and Educational Initiatives

Abstract

This interdisciplinary research on economic agricultural administration coordinates computer science, legitimate systems, and instructive activities to address modern challenges. Utilizing exactness agribusiness calculations, and counting the Normalized Difference Vegetation Index (NDVI), we optimized asset allotment and progressed vegetation wellbeing in different edit areas. The Decision Support System algorithm guided rural hones, guaranteeing legitimate compliance with territorial controls and natural arrangements. Utilizing Natural Language Processing (NLP), our lawful systems investigation calculation illustrated exactness, review, and F1-score measurements of 85%, 92%, and 88%, individually, exhibiting its precision in extricating significant legitimate substances from records. The versatile learning calculation custom-made instructive substance improves learner comprehension and maintenance. Results show a normal increment of 20% in post-assessment scores over members. Motivated by a comprehensive survey of related work, our research contributes an all-encompassing system for feasible agribusiness, emphasizing the interconnected nature of accuracy cultivating, legitimate contemplations, and instructive techniques. Moving forward, the versatility and pertinence of our approach will be essential in realizing a flexible and ecologically dependable future for agribusiness.