This document discusses strategies for implementing e-Agriculture in Thailand through digital transformation of the agricultural ecosystem. It outlines several initiatives including developing an e-Agriculture strategy platform, transitioning farmers and SMEs to smart farming and startups, building capacity through training programs, providing agricultural services and data-driven decision making tools, ensuring food safety and traceability, promoting social enterprises and clustering, and fostering collaboration between government, private sector and communities. The goal is to address issues like labor shortages, climate change impacts, and generate new opportunities through technology and innovation.
1. A new approach is needed for agricultural business utilizing new technologies, knowledge, and information services.
2. This approach involves smart farming utilizing ICT, agriculturists, and human sensing through production clusters, skill development, and ubiquitous sensor networks.
3. The focus is on appropriate technologies, new designs for greenhouses and orchards, precision farming, and applications for different crops to improve yields and quality under climate change.
This document outlines plans for creating an agricultural social business and learning institute in Bangladesh called RSPG Learning Institute. The key points are:
1. RSPG aims to conserve plant genetic resources, build links between organizations, and create a plant genetics database.
2. RSPG will focus on protecting, identifying, evaluating and utilizing natural and human resources through approaches like facilitation, infrastructure as a service, and knowledge as a service.
3. The learning institute will facilitate the creation of social businesses, empower communities, and improve livelihoods through activities like community research, innovative value chains, and management of resources like rice and forests.
4. Stakeholders will include communities, farmers,
This document discusses strategies for developing smart agriculture in Thailand using new technologies. It outlines several key challenges facing Thai agriculture, including rising population and food demands, climate change impacts, and labor shortages. It then proposes using information and communication technologies (ICT) like sensors, drones, and mobile apps to address issues in crop production, quality assessment, risk reduction, knowledge empowerment, and more. Specific solutions outlined include precision farming systems, quality traceability tools, early warning systems, and advisory services. It emphasizes the need for collaboration between different groups and an approach called "Village that Learn" to facilitate local knowledge sharing and lifelong learning. The overall aim is to create smarter farmers and officers through appropriate technology integration.
The document discusses suggestions for next steps to accelerate the effective deployment of e-agriculture solutions to meet stakeholder expectations. It suggests several potential solutions, including:
1) Developing a data visualization model called What2Grow to integrate land use data for agriculture zoning and production planning.
2) Creating a farm and farmer registration system called TAMIS to track locations and manage data.
3) Developing a mobile application called Faarm-ru to integrate knowledge and technologies for agriculture extension and advisory services.
This document discusses e-agriculture solutions and technologies that can help address challenges in agriculture, such as an aging society, lack of farm laborers, climate variability, and the need for higher production quality and lower costs. It presents technological approaches for smart officers, smart farmers, and smart farms that utilize ICT, sensors, and embedded technologies. These include a new design for smarter tropical greenhouses, new farm and orchard management systems, approaches for rice and field crop production, and technologies for production quality reduction and knowledge engineering. It also discusses policy-level planning and strategies as well as example technologies and solutions like a farm and farmer registration system, a water optimization model, an early warning system using image processing, and agricultural information services
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