Weather Data for Agriculture

Weather influences every aspect of the agricultural industry. Understanding the area’s general climate drives crop decisions, as different crops thrive in certain temperature and moisture thresholds. Understanding the species’s typical degree days will also ensure that each crop has sufficient time to grow before harvest.

Planting depends on the right soil temperature and moisture, as otherwise the crop will not germinate. While adjusting soil temperature can be challenging, understanding the current soil moisture levels allows farmers to determine the necessary irrigation before planting. This significantly enhances resource efficiency and improves yields. 

Temperature forecasting is also important. A sudden cold snap after planting can require prompt intervention to protect crops at their most fragile stage, while heat waves may lead to rot. With accurate medium-range forecasting, farmers can prepare for temperature fluctuations based on the specific crop’s needs.

Crop yield depends on precise irrigation schedules, fertilizer application, and pest control, all of which are influenced by metrics like temperature, soil moisture, evapotranspiration, and GDD. 

Farming operations must make informed decisions about when to irrigate based on temperature, humidity, cloud cover, and soil moisture. These all determine how well a plant can “breathe,” how much water is already available to it, and how much is likely to evaporate. Combining these factors enables farmers to make irrigation decisions with high accuracy and avoid wasting this precious resource.

Fertilizer application is best done when there is unlikely to be significant rainfall, while it is more necessary during dry spells. High-resolution, local soil moisture data improves fertilizer decision-making and reduces costs. 

Pest infestations and disease risk are also heavily influenced by weather. Certain pest cycles can be predicted by monitoring GDD, while diseases like rot and fungus are strongly influenced by temperature and precipitation. Properly timing pest control applications and other health treatments reduces crop losses and protects the farm’s overall ecological health.

Informed choices about harvest timing are critical to picking crops at their peak. Agriculture industry professionals must consider crop quality, timing, and logistics to avoid under- or over-ripeness and maximize yields.

Temperature, soil moisture, and GDD determine crop maturity windows, which naturally inform harvest timing. However, harvesting is resource-intensive, requiring both manpower and equipment that may need to be spread across large distances. Tools like radar weather forecasts can show whether rain or high winds are in the forecast, helping farmers make more precise decisions about whether to harvest immediately due to weather conditions or wait a few more days for ripening. 

Post-harvest activities, like curing and drying, also depend on temperature, wind speed, and air moisture. With real-time data and short-term forecasts, farmers can decide the right placement and sequencing for these crucial tasks.

Livestock stress can significantly affect meat quality, making it essential to ensure the animal’s well-being. Weather data helps farmers and ranchers protect their stock from temperature extremes, heat stress, or dehydration.

Monitoring temperature, precipitation, and wind speed averages for the area can help farmers decide how many shelters are necessary per head of cattle, as well as what cooling measures will work. That could be misters, climate-controlled sheds for heat waves, or bodies of water.

Weather predictions can also help with feed and hydration needs, especially for free-range cattle who may need hay transported to them throughout the day. Together, these factors can protect livestock from high temperatures, improve yields, and reduce wasted feed.

Profitability depends on getting products to the market at peak freshness or buying products that are in the best condition. Weather data helps farmers and ranchers plan transport and route conditions around the weather forecast, avoiding humid, icy, or extremely hot days depending on the season. 

This information can also ensure that logistics companies avoid windstorms, blizzards, or rainstorms that could damage the product. Farmers can ensure that their crops or livestock is in the best condition and will command the highest price. 

Purchasers can assess product quality by considering both historical and real-time weather data. For example, corn grown under drought conditions will likely be less nutritious and may only be suitable for livestock consumption, which can drive negotiations.