Benefits And Challenges Of Artificial Intelligence (AI) In Agriculture

Agriculture is important for the economic sector of every country. Everyone in whole world is directly and indirectly dependent on agricultural products for everyday needs. The demand for food is increasing with the global population on a daily basis. At this point, the traditional techniques of farmers are insufficient to meet the demand. Some novel automation techniques are required to meet the current demand globally for agricultural produce. Artificial Intelligence in the agriculture sector is playing a very important role to transform the agriculture industry. AI has the potential to transform traditional agriculture by increasing the efficiency of time, labor, and resources, increasing environmental sustainability, providing accuracy in monitoring and data analysis for better agricultural results. AI useful in agriculture from seed to seed involves improving crop production, preservation, harvest, processing, and marketing. Many high-tech computer-based tools and agri-bots have already been introduced to determine various important parameters for better agriculture. In this article, we will discuss about Benefits and challenges of Artificial Intelligence (AI) in agriculture.

Benefits

• Farmers can make better choices and farm more efficiently with the help of eco-friendly AI techniques. Additionally, it enables farmers to determine the exact areas that require pesticide application, fertilization, and irrigation, helping them avoid overusing resources and chemicals on their crops.

• AI assists farmers in overcoming major agricultural challenges by determining the optimal period for sowing and harvesting crops based on market demand analysis, price forecasts, and weather forecasts.

• Farming machinery with AI capabilities enables growers to produce more crops with less effort and expense. With AI and automation, farms can complete tasks without hiring more workers. Some examples include driverless tractors, intelligent irrigation and fertilizing systems, smart spraying, vertical farming software, and AI-based harvesting robots.

• The use of advanced AI-based technologies has other benefits on the agri-food supply chain, such as cutting down on employee training costs, reducing the time needed to resolve problems, reducing the amount of human errors, reducing human intervention, and providing automated good, accurate, and robust decision-making at the right time at a lower cost.

Challenges of AI Adoption in Agriculture

Although there is a lot of potential here, there are still some obstacles.

• Most farmers around the world are unfamiliar with the use of AI-enabled tools and solutions.

• It may be difficult for underdeveloped nations to adopt AI and innovative technologies in agriculture.

• The threat of unemployment is the very biggest societal challenge; in fact, robots and intelligent machines can take over most of the repetitive jobs and tasks; as a result, human involvement is decreasing, which will be a serious challenge for employment standards.

• Another example of a technical challenge is the fact that robots can only perform tasks for which they have been designed or programmed, and if those tasks are altered, they often fail or produce useless results.

• The high expense of these applications, which can drive up prices and input costs, is another problem. These methods are also useless for small-scale farms or rural areas.

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