Venturing into data analysis can be daunting. However, much of the analysis required for agriculture operations may be less complex. For example, regression analysis can provide insight into production levels based on single focus items such as rainfall for the year. However, analyzing combinations of factors such as rainfall, soil condition, hours of sunlight, seed density and fertilizer application rates requires machine learning (ML)/AI to provide a more in-depth picture of what is happening. This microcredential introduces participants to analyzing data and format approaches, algorithms for decision-making, and interpreting results of compiled data.
The ideal learner will be looking to adopt sustainable farming practices using data and already be employed in the farming industry, either as an employee or owner. It is expected that the learner will have at least basic digital skills. The learners will complete the modules at their own pace. Therefore, this microcredential has been developed fully online.
Prior Learning
Various sensors can be found in today’s agricultural operations. This microcredential provides a summary of the range of IoT sensors, the technology required to utilize the sensors, and collection and storage of data. The ideal learner will be looking to adopt sustainable farming practices using data and already be employed in the farming industry, either as an employee or owner. It is expected that the learner will have at least basic digital skills. The learners will complete the modules at their own pace. Therefore, this microcredential has been developed fully online.
Prior Learning
This microcredential focuses on the operation of mechanically driven boats as it pertains to the operator’s safety and the procedures to limit the impact of the equipment on the environment. This includes limiting air pollution and controlling and minimizing hazardous spills in the waterways in which we operate.
The microcredential is specifically designed to train Indigenous producers in Northern Saskatchewan. The design and delivery support, acknowledge, and respect the learners’ needs and time. To meet the needs of students, the online course has been designed to be user friendly, highly engaging, and interactive. Producers and boat users from all areas of Canada will benefit from taking the course.
The acquisition, retrieval, and storage of data from IoT devices is essential for agriculture professionals. This microcredential will explore various data storage methods and what each method can do in providing access for later analysis. The ideal learner will be looking to adopt sustainable farming practices and already be employed in the farming industry, either as an employee or owner. It is expected that the learner will have at least basic digital skills. The learners will complete the modules at their own pace. Therefore, the microcredential has been developed fully online.
In precision farming, the benefits of adopting farming practices guided by real-time data are made possible using the Internet of Things (IoT). This micro-credential will assist agricultural workers in exploring how devices and agricultural applications can capture data that supports good farming practices.
The ideal learner will be looking to adopt sustainable farming practices using data and already be employed in the farming industry, either as an employee or owner. It is expected that the learner will have at least basic digital skills. The learners will complete the modules at their own pace. Therefore, this microcredential has been developed fully online.
Prior Learning
Precision farming is a management concept that observes, measures, and responds to field variability in crops. To do this, precision farming uses the latest techniques and technologies to address the carbon footprint, clean technologies, and the environmental impact of farming. With the use of technology and the Internet of Things (IoT), the farmer can make decisions regarding practices such as land management, maintenance schedules, seeding, and others by using real-time data. The effect is a reduction in the use of sprays, fertilizers, carbon emissions, and the reduction of greenhouse gases. This microcredential investigates current legal status covering equipment owner access to data, provides descriptions of the types of analysis available and how to use it, and explores how the data from ‘smart’ equipment combined with analysis can be used to make future decisions to increase productivity, decrease emissions, reduce the carbon footprint, and to inform farming practices. There are eight microcredentials within the Precision Farming series and they can be taken in any order or on their own.
The ideal learner will be looking to adopt sustainable farming practices and already be employed in the farming industry, either as an employee or owner. It is expected that the learner will have at least basic digital skills. The learners will complete the modules at their own pace. Therefore, this microcredential has been developed fully online.
Precision farming is a practice that can take advantage of existing software applications to track equipment, maintenance, and failure rates. In this microcredential, you will explore how using equipment monitoring can improve maintenance. There are eight microcredentials within the Precision Farming series and they can be taken in any order or on their own.
Flexibility in our offerings and innovation in our approach is considered essential to demonstrate our continued commitment to student success. This includes an interest in managing machine maintenance. The ideal learner will be looking to adopt sustainable farming practices and already be employed in the farming industry, either as an employee or owner. It is expected that the learner will have at least basic digital skills. The learners will complete the modules at their own pace.
Prior Learning
Precision farming includes using technology to see and collect data on soil, crop growth and crop production is a potential way to increase crop yields. This microcredential explores the types of drones used in agricultural applications and discusses topics such as drone imaging to assist field analysis. There are eight microcredentials within the Precision Farming series and they can be taken in any order or on their own.
Flexibility in our offerings and innovation in our approach is considered essential to demonstrate our continued commitment to student success. The ideal learner will be looking to adopt sustainable farming practices and already be employed in the farming industry, either as an employee or owner. It is expected that the learner will have at least basic digital skills. The learners will complete the modules at their own pace. Therefore, the microcredential will be developed fully online.
Prior Learning
This microcredential will teach you how to minimize your environmental impact through sustainable practices. Additionally, you’ll explore food sovereignty, learning how it enables communities to produce higher-quality food, increase the value of their crops, and make local decisions that positively impact both people and the environment.
The microcredential is specifically designed to train Indigenous producers in Northern Saskatchewan. The design and delivery will support, acknowledge, and respect the learners’ needs and time. To meet the needs of students, the online course has been designed to be user friendly, highly engaging, and interactive. Producers from all areas of Canada will benefit from taking the course.
You have decided to enter biomass production. How do you move your material? The Biomass Supply Chain micro-credential assists participants in assessing inventory distribution across the supply chain, tracking and tracing materials, and assessing inventory monitoring systems. This microcredential focuses on nature-based solutions to produce energy and is one of four under the theme of Biomass production, handling, storage, and distribution.
Intended learners for this training are existing or potential employees of power generation, mining, or agricultural companies, and residents of rural or remote communities where biomass is harvested, collected, and stored, including First Nations and rural agricultural communities.
How do you store biomass? The Biomass Storage microcredential assists participants in their learning journey by training them to assess optimal storage locations and conditions, create fire codes and standards for bale storage, and create a bale storage yard design. This microcredential is one of four under the theme of Biomass production, handling, storage, and distribution.
Intended learners for this training are existing or potential employees of power generation, mining, or agricultural companies, and residents of rural or remote communities where biomass is harvested, collected, and stored, including First Nations and rural agricultural communities.
Alternative energy and agriculture? Plants produce biomass that can be burned for heat or converted to renewable energy. However, it takes planning. The Biomass Production Raw Materials microcredential looks at biomass production and prepares participants to select materials, plan fields, assess parameters, and prep fields for the next season. This microcredential focuses on nature-based solutions to produce energy and is one of four under the theme of Biomass production, handling, storage, and distribution.
Intended learners for this training are existing or potential employees of power generation, mining, or agricultural companies, and residents of rural or remote communities where biomass is harvested, collected, and stored, including First Nations and rural agricultural communities.
Are you interested in biomass use as an alternative energy source? The Biomass Handling microcredentials help you analyze on-field and harvest efficiency, drying moister content, and choosing cost-efficient bale collection and handling methods. This microcredential focuses on nature-based solutions to produce energy and is one of four under the theme of Biomass production, handling, storage, and distribution.
Intended learners for this training are existing or potential employees of power generation, mining, or agricultural companies, and residents of rural or remote communities where biomass is harvested, collected, and stored, including First Nations and rural agricultural communities.
The Survey of Software to Perform/Assist in Agriculture Data Analysis will discuss the most often used software applications applied to agricultural data analysis. ML/AI (Machine Learning/Artificial Intelligence) applications exist for some of the data analysis a farming operation might wish to employ. This microcredential includes a description of each application, and how to install it and use it. There are eight microcredentials within the Precision Farming series and they can be taken in any order or on their own.
The ideal learner will be looking to adopt sustainable farming practices and already be employed in the farming industry, either as an employee or owner. It is expected that the learner will have at least basic digital skills. The learners will complete the modules at their own pace. Therefore, the microcredential has been developed fully online.
Prior Learning
This course focuses on what’s needed for an effective food distribution system. You will develop a comprehensive understanding of monitoring shipments with tracking and tracing practices, technology and transaction protocols.
You will examine the complexities of track and trace in relation to authenticity, safety and sustainability. You will also address issues related to environmental impact, social equity and economic viability. The course’s industry-focused curriculum will explore what’s needed to ensure a safe food supply.
The course offers hands-on learning through case studies, guest lectures and online collaboration.
This microcredential is for graduates and working professionals who are interested in enhancing their knowledge of sustainable supply chain practices or helping their organizations achieve environmental, social and governance related goals.
Precision Agriculture (PA) is a method of measuring and managing variability to ensure the right products at the right rates are applied in the right place and at the right time. This is known as 4R nutrient stewardship.
In this microcredential, learners will explore precision agriculture tools and make data-informed decisions for a farming operation. Learners will participate in real-world demonstrations of data collection using PA tools and technologies and access sources of existing data. Learners will explore how data informs applications using VRA-capable equipment such as fertilizer spreaders, sprayers with nozzle control, or VR-capable planters
This microcredential introduces the main sources of GHG emissions in cropping systems (tillage, nutrient management and pest management) and will assist learners in identifying cropland management practices to reduce GHG emissions and sequester carbon. Based on current research and best practices, learners will develop farm-specific strategies for their crops operation that reduce GHG emissions and increase carbon sequestration.
By the end of this training, learners will develop farm-specific strategies for a crop production operation that reduces greenhouse gas emissions and increase carbon sequestration.
Note: Successful completion of the Climate Smart Agriculture Fundamentals microcredential is a pre-requisite for this microcredential.
This microcredential introduces the main sources of greenhouse gas (GHG) emissions in agriculture and will assist learners in identifying farm management practices to reduce GHG emissions and sequester carbon through alternatives to fossil fuels, land management and water management. Based on current research and best practices, learners will develop farm-specific strategies for their farm operations that reduce GHG emissions and increase carbon sequestration.
Note: Successful completion of the Climate Smart Agriculture Fundamentals microcredential is a pre-requisite for our Cropping Systems and Livestock Systems Climate Smart microcredentials.
This microcredential introduces the main sources of greenhouse gas (GHG) emissions in livestock systems (enteric fermentation, forage production, and manure) and will assist learners in identifying livestock management practices to reduce GHG emissions and sequester carbon. Based on current research and best practices, learners will develop farm-specific strategies for their livestock operation that reduce GHG emissions and increase carbon sequestration.
Data management and analysis are key in allowing the agriculture sector to facilitate change when transitioning to a low carbon economy and meeting net zero targets. Using farm level data to support decisions will ensure farmers and farm workers are positioned to make decisions to optimize yields and outputs for their specific situation. Digitization of agriculture data is a key factor for the sector going forward and how that data is used and interpreted will affect productivity, competitiveness, profitability, traceability and application of inputs.
This microcredential will equip participants with the knowledge and skills necessary to support agricultural professionals in adopting economically sustainable practices that also reduce their carbon footprint.
Informed by the latest research and best practices, participants will select agrologist-led practices and technologies that are not only economically sustainable but also environmentally conscious. These transformative strategies will enable agrologists to guide their clients and stakeholders towards a greener, more resilient, and economically viable agricultural future.
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