AI in agriculture: A threat to farmers?

Introduction: A context of climate change and drought

From the Horn of Africa to the Pyrénées-Orientales in France, drought and heat waves are causing men, animals and plants to suffer. Climate change is accentuating threats to global agricultural yields, even in temperate zones that were previously spared. More than three billion people already live in an environment highly vulnerable to climate change.

The potential benefits of artificial intelligence in agriculture

Optimization of resources and reduction of costs

Faced with these challenges, artificial intelligence (AI) could be a solution to help farmers optimize the use of their resources such as water, fertilizers or pesticides. Using data analytics and machine learning, it is possible to identify best practices for each crop and predict resource needs with greater accuracy. This would not only reduce costs, but also limit the environmental impact of agriculture.

Improvement of yields and adaptation to climatic conditions

AI can also help improve agricultural yields by helping farmers better understand and anticipate climate conditions. By combining weather data, satellite images and crop information, AI algorithms are able to predict the ideal time to sow, irrigate or harvest. Farmers can thus adapt their practices to climate change and avoid suffering significant losses in the event of drought or floods.

The risks of using AI in agriculture

Job loss and automation of agricultural work

However, the adoption of AI in agriculture also raises concerns about the possible loss of jobs for farmers. The automation of agricultural tasks could indeed lead to a reduction in demand for human labor, particularly in rural areas where employment is already precarious. Additionally, the skills required to pilot these technologies could create a divide between farmers trained in AI and those who are not.

Dependence on tech companies and monopolies

The use of AI in agriculture also involves a growing reliance on technology companies providing the necessary software and equipment. This situation could give rise to monopolies and limit access to these tools for small farmers who cannot afford to invest in these technologies. It is therefore crucial to ensure that AI is accessible and beneficial to all stakeholders in the agricultural sector, not just large farms.

Conclusion: Balancing Benefits and Risks

For AI in agriculture to be an opportunity rather than a threat to farmers, it is essential to balance its potential benefits with the risks it poses. Here are some ideas:

• Promote the training of farmers in new technologies and give them the means to adapt their practices.
• Ensure that technological innovations are accessible and affordable for all, including smallholders.
• Promote cooperation between different actors in the agricultural sector, in order to share knowledge and avoid the concentration of power in the hands of a few companies.

In short, artificial intelligence has the potential to transform agriculture by providing innovative solutions to the challenges posed by climate change and drought. However, it is imperative to ensure that this transformation does not take place to the detriment of farmers and their jobs, but rather supports their activity and guarantees fair access to the benefits of these technologies.

Sources

• https://mobile.telquel.ma/2023/05/12/agriculture-lintelligence-agricole-et-lia_1811470
• https://www.lafranceagricole.fr/rechauffement-climatique/article/839843/comment-le-changement-climatique-menace-l-agriculture
• https://www.letelegramme.fr/agri-agro/un-pic-de-chaleur-a-40-c-peut-tuer-une-vache-comment-le-changement-climatique-menace-l-agriculture- 10-05-2023-13334275.php
• https://www.lesechos.fr/monde/europe/secheresse-et-canicule-lespagne-craint-pour-son-agriculture-1938823
• https://youmatter.world/fr/secheresse-rendements-agricoles-france-2023/