Answer the questions below in your own words and compare your answers with the model answers. If you are not sure, look for information in the study text, recommended literature or on the Internet.
The model answer shows what a correct and complete answer might sound like.
- Explain how precision agriculture contributes to nature conservation.
- Give a specific example of how a small farm can use digital technology.
- What is the difference between traditional and precision fertilization?
- Why is it important for farmers to work with current data?
💡MODEL ANSWER TO THE QUESTION: Explain how precision agriculture contributes to nature conservation.
Precision agriculture provides solutions for farmers to better adapt to the impacts of climate change through electronic, digital and online systems such as drones, satellites, databases and software that allow farmers to better regulate water and energy use and respond more adequately to field and crop treatment needs.
EXAMPLES OF HOW THE APPLICATION OF THE PRINCIPLES OF PRECISION AGRICULTURE CAN CONTRIBUTE TO THE MITIGATION OF THE IMPACTS OF CLIMATE CHANGE:
- Targeted the use of chemicals can facilitate more efficient use of fertilizers, thereby reducing the greenhouse gas emissions associated with overuse (while reducing costs)
- Accurate and variable plowing planning can prevent soil degradation and save energy.
- The correct amount of water will prevent over-watering and dry spots.
- Incorporating scientific knowledge and data-driven decision making avoids ad hoc and short-term solutions.
- Satellite images can help in selecting the most suitable crop for a given field.
- Optimizing overall energy consumption (for example, vehicle and machine trajectories).
- On-site cameras help decide whether or not a farmer needs to go into the field.
- Forecast of extreme weather conditions.
- Help with pest prevention.
💡MODEL ANSWER TO THE QUESTION: Give a specific example of how a small farm can use digital technology.
💡ANDfor example, an organic farm can use a simple soil moisture monitoring system consisting of a low-cost sensor and a mobile app. The sensor regularly measures the moisture level in different parts of the field and automatically sends the data to the farmer’s phone. Thanks to this, the farmer knows exactly when it is necessary to start irrigation and does not have to water «just in case».
This practice leads to water savings, lower costs and better plant growth as they are not overwatered or subjected to drought stress. Similar solutions are offered, for example, by the CleverFarm application or the Agdata.cz platform, which are also available for small farms and do not require complex IT knowledge.
💡 MODEL ANSWER TO THE QUESTION: What is the difference between traditional and precision fertilization?
The traditional approach to fertilization means that the farmer applies the same amount of fertilizer to the entire field, often based on guesswork or years of practice. This method can lead to wasted fertilizer in places where the soil does not need the nutrients, and conversely to nutrient deficiencies in other parts of the field.
On the contrary, precise fertilization is based on data about the soil and the condition of the vegetation – for example, from soil analyses, sensors or satellite images (NDVI maps). Thanks to this information, the farmer can determine exactly where and in what amount fertilization is needed, and can dose nutrients only to problem areas. This approach saves costs, improves yields and at the same time reduces the negative impact on the environment.
💡MODEL ANSWER TO THE QUESTION: Why is it important for farmers to work with current data?
Working with up-to-date data allows the farmer to respond timely and accurately to changes in field or barn conditions. For example, data from a weather station or soil moisture sensors will immediately show him whether the plants need watering or whether there is a threat of frost. If a farmer were to rely only on older or estimated data, he could water unnecessarily, apply fertilizer at the wrong time, or miss an incipient disease or pest problem. Thanks to up-to-date information, it can make quick and targeted decisions that save water, fertilizers, time and costs, while protecting the environment.
