Since the beginning, farmers have been driven to collect accurate weather data and to best respond to Mother Nature’s unpredictable changes. Farmers and crop producers risk everything every year against climate forces that can change from perfect to unmanageable, week to week or hour to hour.
It’s not surprising that weather monitoring and data collection are among the most competitive and complicated segments of agriculture. Weather data providers and system developers agree that we have made great strides, and farmers now have better and more accurate information.
- 1 Increase Crop Yield with Data Science For Weather forecasting
Increase Crop Yield with Data Science For Weather forecasting
The federal government has always been a vital source of weather technology innovation and investment over the years. Private investment in systems and products related to acclimation have risen dramatically in recent years.
Let’s now learn how to increase crop yield using data science for weather forecasting.
How can Weather Forecast help with Agricultural Decision Making?
Forecasts are an important tool in planning for agriculture. Weather forecasts have seen significant improvements over the last few decades due to substantial investment in research, better atmosphere and surface observations, more powerful computers, and a greater understanding of atmospheric dynamics. Rainfall predictions have also improved with the help of data science.
Our three-day forecasts were now as accurate as the two-day forecasts a decade ago. Accurate weather forecasts can help growers make better decisions in three main ways. They could save money by not using field treatments when conditions are good. They could also reduce yield loss by moving harvests earlier or later, anticipating extreme weather conditions, and changing the growers’ crops.
These forecasts can be too spatially and temporally inaccurate, despite these improvements. Forecasts farther into the future are less accurate than forecasts with shorter lead times. Precipitation forecasts tend to be less accurate than forecasts of temperature. Weather forecast quality is dependent on the number of meteorological stations available in the area and the time interval.
Weather forecast quality is also dependent on the time taken by meteorologists to process the data and the complexity of the atmosphere at that particular location. However, data science can surely make this less complicated for them and assist them in getting accurate results. Computer processing power is the key to improving weather forecast modeling.
More powerful computers allow us to run meteorological models with higher resolution and better representations of atmospheric processes. The unpredictable nature of weather limits our ability to predict and capture atmospheric changes. Despite these limitations, there may be continued improvements in the coming decades, and AI will surely take part in it. So, the future agriculture experts who do data scientist courses will undoubtedly be well-informed and get a fine crop!
How can weather forecasting using data science aid in improving crop yield?
Globally, rising food demand will pressure the agricultural sector over the coming decades. This challenge can be solved by increasing crop yield without a large increase in cropland. It is possible to identify and implement best management practises, and this requires more knowledge about climate change and the effects of growing-season weather variability on crop yield.
It is difficult to predict with this weather forecasting knowledge because many factors interact. Variability in soil type can affect weather conditions and reduce or exacerbate climate-related impacts on crop yield. A combination of seed genetics (G), and crop management decisions, can have an impact on crop yield.
Applications in Agriculture
The industry can use Artificial Intelligence and Data Science technology to improve crop yields, manage pests, monitor soil, and growing conditions, organize data for farmers, reduce workloads and improve many other aspects of agriculture in the food supply chain.
Farmers cannot predict the best time to sow seeds due to changing climatic conditions and pollution. Artificial Intelligence allows them to analyze the weather and use forecasting to help them plan when and what type of crops they can grow. If you manage to grow the right crop at the right time, it can bring immense profit! So, one decision matters a lot, so you need to nail it, and AI helps you with the same!
Predictive Analytics and Precision Farming
If you do a PG diploma in data science, you can attain perfection in predictive analysis and precision in your farming business. AI applications for agriculture have created tools that help farmers manage and correct their farming practices. They offer guidance and information to farmers about water management, timing harvesting, crop rotation, how to plant them, type and quantity of crops to grow, and what to do regarding pest attacks & nutrition management.
Machine learning algorithms are used with images taken by satellites or drones. AI-enabled technology can predict weather conditions, analyze crop sustainability, evaluate farms for diseases or pests, and help farmers to determine if there is poor plant nutrition.
Farmers without internet access can still get AI benefits with simple tools like the Sowing App and an SMS-enabled smartphone.
Farmers with Wi-Fi can still use AI apps to receive an AI-customized plan tailored to their land. These IoT and AI-driven solutions allow farmers to meet the global demand for more food and increase their revenues racecar bed without depleting precious resources. Farmers can use AI to become agricultural technologists in the future, and they can use data to optimize yields right down to the individual rows of their plants.
Improved weather forecasting is a huge benefit for farmers, who could be customers of private forecasting firms. Weather is a major key factor in determining the best time to plant, fertilize, spray, irrigate and harvest crops. Farmers can maximize their yield by having accurate weather information for every field.
President of Climate Corporation, Michael Stern, loves to remind us that it is possible to grow 521 bushels per acre in competitions with intensive management. The national average is only 175 bushels an acre. There are many opportunities for improvement through better data, management, and analytics. You can check the various courses that Great Learning offers and choose one that suits your requirements.