Artificial intelligence | Artificial intelligence in agriculture | artificial intelligence in agriculture project | Artificial intelligence benefits | Applications of AI in agriculture

 Artificial intelligence is assisting various industries in increasing productivity and production. 

In every area, artificial intelligence technologies are assisting in overcoming conventional challenges. 

In agriculture, artificial intelligence is assisting farmers in increasing productivity while reducing negative environmental impacts. 

Artificial intelligence was enthusiastically adopted by the agriculture industry in order to improve overall performance. Artificial intelligence is changing the way our food is processed, resulting in a 20% reduction in agricultural emissions. 

Artificial intelligence technology is assisting in the monitoring and management of any unwelcome natural occurrence.

Components of Artificial intelligence policy:-

 Enabling Beneficial AI Research and Development. 

 Global Governance, Race hazard, and International support

are all components of artificial intelligence policy.

 Economic consequences, labour shifts, inequity, and technological unemployment

 Transparency, Accountability, and Explainability.

 Human Rights, Ethics, and Fairness.Advantage of artificial intelligence

 Farmers can better understand data intuition such as temperature, precipitation, breeze speed, and solar radiation by using artificial intelligence in agriculture.

 The focus of AI implementation is on detecting faulty crops and increasing the potential for safe crop production.

 Agro-based companies have benefited from the advancement of Artificial Intelligence technology, which has helped them operate more effectively.

 Artificial intelligence is being used in applications including automatic computer changes for weather forecasting and disease or pest detection.

 Artificial intelligence can help many tech companies invest in algorithms that are becoming useful in agriculture by improving crop management practices.

 AI strategies have the potential to address problems that farmers face, such as climate change, insect infestations, and weed infestations that reduce yields.

Disadvantage of artificial intelligence:- 

● Making or purchasing robots is expensive.

● They need ongoing maintenance. 

● Farmers can lose their jobs as a result.

● Robots have the ability to alter society.

● Energy costs and upkeep.

● Exorbitant research and development costs.

●  Inaccessibility to marginal farmers.


Applications of artificial intelligence

◆ Weather forecasting

● AI is assisting farmers in staying current with weather forecasting data in a sophisticated way. 

● Farmers can increase yields and income by using forecasted/predicted data without putting their crops at risk. 

● By understanding and learning with AI, the farmer may take precautions by analysing the data produced. 

● Implementing such a practice will assist you in making an informed decision on time.

◆ Monitoring Crop

● Deep learning applications are being designed to analyse flora trends in agriculture with the aid of 

● Al. Soil defects, plant pests, and diseases can all be better understood with AI-enabled applications.

● Reduce the use of pesticides

● Data is gathered with the aid of AI to keep an eye on the weeds, allowing farmers to spray chemicals 

● just where the weeds are. This resulted in a significant reduction in the amount of chemical used to spray an entire area. 

● As a result, AI decreases the amount of herbicide used in the field when compared to the amount of chemicals usually sprayed.

● Farmers many difficulties face when using conventional farming methods

● In agriculture, climatic factors such as rainfall, temperature, and humidity play an important role in the life cycle of the crop. Climate change is a result of increasing deforestation and emissions, making it impossible for farmers to make decisions on how to prepare the soil, plant seeds and harvest.

● Each crop necessitates a particular type of soil nutrition. 

In soil, three main nutrients are required: 

nitrogen (N), phosphorous (P), and potassium (K). Nutrient deficiency can cause crops to be of poor quality.

 Weed control plays an important role in the agricultural lifecycle, as can be seen. If not regulated, it may 

lead to an increase in production costs as well as the absorption of nutrients from the soil, resulting in nutrient deficiency.

Conclusion:- 

In agriculture, artificial intelligence not only aids farmers in automating their operations, but also transfers the focus to precise cultivation for increased crop yield and quality. 

Artificial Intelligence-based goods or services, such as agricultural training data, drones, and automated machine manufacturing, will advance technologically in the future, providing more useful applications to this field, assisting the world in dealing with food production issues for a rising population

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