With the following Concept Card: [- Insight: Data Challenges in ML: A significant challenge in using ML for precision agriculture is the need for large, high-quality datasets and lead to farming decision making. - Stakeholder: Data Scientists, Farm Owners, Precision Agricultural Researchers, and Policy Makers. - Idea: Create a cooperative data-sharing platform where farmers can pool data and benefit from collective insights, and leverage ML insights to validate and promote environmentally friendly practices. - Desirable: Desirable for its potential to democratize access to advanced analytics. and for meeting the growing consumer demand for sustainability. - Viable: Viable if privacy and data ownership concerns can be addressed. - Feasible: Feasible with the increasing global focus on sustainable development and climate-smart agriculture, and with the increasing trend of open-source platforms and community-driven projects.], answer the following questions: Is it desirable and why? Is it feasible and why? Is it viable and why