Heavy industries and transportation are not completely responsible for the climate crisis. Agriculture also plays a role owing to the emission of global greenhouse gases with activities related to farming, forestry, and land use. Nevertheless, there is a hope for farming to impact the climate positively. It is a unique transformation and an efficient solution called Regenerative agriculture. Although several farmers have begun embracing this farming method, scientific and technological challenges hamper its adoption globally.
This is where Regrow Ag comes into the scene and plays a significant role. It is a platform that enables efficient use of data to help make sound agricultural decisions. The platform connects farmers, researchers, and others related to this field to resources, tools, and insights. The blog post will dig deep into data-driven decision-making in agriculture and provide insights from Regrow Ag that help the agriculture sector advance.
How to Practise Data-Driven Decision-Making in Agriculture?
Before digging into the insights from Regrow Ag about data-driven decision-making in agriculture, let’s understand how to practise it. Theoretically, whoever makes agriculture decisions, depending on accurate and real-time figures, is data-driven. For example, if you fertilise your crops depending on the soil analysis results, they are data-driven. Nevertheless, today’s ‘data-driven farming’ involves the usage of numerous modern technologies to correctly and comprehensively collect farm data:-
- Soil and Crop Sensors help measure the numerous conditions of soil and crops.
- Variable Rate Technology gives the application the appropriate amount of data.
- Yield Mapping Technology gathers inputs about the yield and other crop features during harvesting.
- Weather stations to track weather conditions.
- Farm Management software to track, collect, and assess the overall farm production procedure.
How Does Regrow Ag Advocate for Adopting FAIR Principles in Agriculture?
Regrow Ag intends to remodel the global food system to a sustainable one by scaling regenerative farming practices. It advocates for adopting FAIR principles. FAIR is the acronym for Findable, Accessible, Interoperable, and Reproducible. It provides observed insights for free community use to enhance further science, work within the industry, and implement market depending on science. It also leverages current and future market research that the federal government has funded.
The platform strongly supports making non-confidential data funded by the government freely available with the help of FAIR standards. By doing this, Regrow Ag hopes to develop the sharing and management of data in agriculture and allow correct and clear quantification and validation of the environmental results linked with regenerative farming.
How Does Regrow Ag Help in Data-Driven Agricultural Decisions?
Regrow maps the adoption of sustainable farming practices in supply shades and offers the capability to quantify supplier-centric emission factors. They do this with the help of OpTIS, an automated system leveraging publicly available proprietary models and satellite images. The following are a few insights on how Regrow Ag helps in making agricultural decisions through data:
- It aids farmers and food organisations in measuring, monitoring, and validating their agricultural practices’ environmental and economic results.
- It uses satellite images, machine-learning tools, and biophysical models to generate high-resolution and quality maps and analytics to help farmers and food organisations optimise their management practices and meet sustainability goals.
- It provides clear and authenticated data on their carbon footprint and allows farmers and food firms to gain access to carbon markets and alternate incentives.
- It works with non-government organisations, researchers, and industry collaborators to build a universal network of data and knowledge for regenerative agriculture.
How to Regrow Uses Data for Making Efficient Data-Driven Agricultural Decisions?
Insights on agricultural production, various farm management trends, and the effects of agricultural practices are beneficial for setting up and scaling various practices, such as water quality, carbon farming and other agricultural programs. Technological innovations like satellite images and remote sensing give insight into soil health, crop productivity, and environmental conditions.
Regrow Ag uses, shares, and maintains the privacy of growers. It adopts a “Comprehensive Data Approach”. By gaining access to the right inputs, firms can gain knowledge about supply chain operations and discover opportunities to measure the effectiveness of climate programs.
Regrow uses comprehensive hyperspectral cameras on drones or satellites to ascertain crop performance and diagnosis, letting farmers know about the issues of contemporary crop production with the help of remote sensing imagery.
Conclusion
Regrow Ag allows you to associate closely with a local retailer or agricultural cooperatives. This association lets you gain valuable insights, make sound decisions, adopt creative practices, and initiate abiding transitions within your farming processes. You will find informative insights if you search for informational blog posts, entertaining podcasts, detailed webinars, or case studies. The collection covers diversified topics and formats to back your goals for sustainability and keep you appropriately informed. Regrow Ag aims to facilitate the embracement of sustainable farming practices that push for agricultural resilience and economic growth for growers globally.