Artificial intelligence to improve agricultural management and productivity

May 27, 2024 | #Agrotechnology | 0 comments

The agriculture sector faces a double challenge: feeding a constantly growing population and reducing its impact on the ecosystem; that is, do it sustainably.

In this context, artificial intelligence (AI) has great potential to improve agricultural management. Geospatial data, such as satellite imagery, together with AI allow farmers to increase their productivity and efficiency while reducing natural resources used; that is, with a lower environmental impact.

4 applications of AI in agriculture

Technological progress has great potential to positively impact the agriculture sector. Information obtained through geospatial data, such as satellite images, probes or other devices, combined with predictive and analytical models of artificial intelligence (AI) allow numerous applications to improve yield, resource optimization and efficiency in agriculture . Among the main applications, the following stand out:

Crop prediction

Through a simple photograph, a predictive AI algorithm makes it possible to predict the volume of the crops in estimated weight a month in advance. The technology can estimate the productivity of trees, without the need for field work, making strategic decisions and greater negotiating power in the market for small and large farmers.

Increase in agricultural productivity

The analysis of satellite images helps to know the state of the crops. Some data that allows AI analysis is relevant, such as the size of the tree crowns, their vigor or the areas with the highest density of trees and their consequent productivity within a plot. Having this information allows agricultural professionals to make strategic decisions to increase agricultural productivity.

Investment risk analysis

Increasingly, financial institutions lend money to farmers for their development. In this sense, geospatial data and the application of predictive and analytical AI models allow us to have a history of productivity and a prediction of this to realistically analyze the risk derived from investments or loans to farmers, regardless of their size.

Optimization of water resources

In Spain, agriculture is responsible for the consumption of 85% of fresh water. Optimizing the use of water resources is a necessity in the current drought context. Technological advances allow, through geospatial data and AI, to know not only superficial data about the territory, but also some specific issues such as relative humidity. Thus, farmers can optimize the use of water, affecting only those areas that require it.

AI to fight climate change in the agricultural sector

Climate change is having a significant impact on agriculture, with consequences such as:

  • Increased temperatures: Higher average temperatures can reduce crop productivity, increase evapotranspiration and favor the appearance of pests and diseases.
  • Changes in precipitation patterns: more frequent and intense droughts, as well as floods, can damage crops and reduce the availability of water for irrigation.
  • Extreme Weather Events: Storms, hail, and other extreme weather events can cause significant damage to crops and agricultural infrastructure.

AI can help farmers adapt to the effects of climate change by selecting more resistant crop varieties, optimizing water resources, even implementing warning systems.

On the one hand, artificial intelligence algorithms make it possible to identify crop varieties that are more tolerant to drought, high temperatures and pests. While improving water use performance allows farmers to use water more efficiently, reducing irrigation in times of drought and making the most of available water.

Finally, developing early warning systems that warn farmers of the approach of extreme weather events allows them to take measures to protect their crops.

The integration of Artificial Intelligence in agriculture is redefining traditional practices towards a more sustainable and efficient future. At agforest , we are leading this revolution with innovative solutions that combine AI and geodata to optimize agricultural management. Visit our website to find out how we can help you transform your farming operation with the latest technology.

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