How artificial intelligence can be used in agriculture?

AI can provide farmers with real-time insights from their fields, allowing them to identify areas that need irrigation, fertilization, or pesticide treatment. Also, innovative farming practices like vertical agriculture may help increase food production while minimizing the use of resources.

How we can use big data analytics in agriculture explain with proper example?

Big data provides farmers granular data on rainfall patterns, water cycles, fertilizer requirements, and more. This enables them to make smart decisions, such as what crops to plant for better profitability and when to harvest. The right decisions ultimately improve farm yields.

What are the sources of information in agriculture?

Sources of information are: radio, television, extension workers, cooperative societies, friends and colleagues, newspapers and magazines, books/leaflets, phones, libraries and institutes. Also, observation of people organizations, speeches, documents, picture and art work can also be described as information sources.

What is cloud computing in agriculture?

Often cloud computing is used to collect, analyze and store agriculture data. Cloud-connected wireless sensors capture data from the field and machine learning algorithms analyze that real-time information, giving farmers a better understanding of crops conditions.

How AI can help Indian farmers?

Artificial Intelligence (AI) is being used by the agriculture industry to help produce healthier crops, control pests, monitor soil and growing conditions, organise data for farmers, reduce effort, and improve a wide range of agriculture-related operations along the food supply chain.

How is data used in agriculture?

Farmers that currently collect data were asked to rate the extent to which their data influences their decision making in three crop management areas: seeding rates, nutrient management/fertilizer application, and drainage investments.

How can data warehouse helps in agriculture system?

Big data / data warehouses technologies along with mobile technologies can be used in sourcing large set of data of agriculture sector activities, processing of this data, and generating valuable information for farmers, consumers, and government agencies from large set data.

How do farmers access information?

Access to information in remote areas. Farmers in remote areas can sometimes be reached by radio broadcasts; however, technology can also be brought to the remote villages with mobile buses or vans. Such mobile units are typically equipped with computers, mobile internet, and collections of selected print materials.

What is 3D printing in agriculture?

3D printing, or Additive manufacturing, is a technology that is steadily finding applications in almost all industries across the world. 3d printing is assisting the farming sector by providing various agricultural prototypes, production parts etc. These tools help this sector to move ahead at a rapid place.

How are clouds important to farmers Class 7?

Answer: The monsoon winds carry water and it rains. Clouds bring rain and give us happiness. Farmers in our country depend mainly on rains for their harvests.