Technology in Agriculture

Farming technology allows farmers to produce more, save less food and improve the quality of their crop. GPS navigation, satellite imagery, drones, mobile phones, automated machines.

The two main problems in modern agriculture are depletion of the natural world and environmental farming practices. It needs to feed enough people to meet demand without taking over the planet.

GPS
GPS technology is used by farmers in a wide range of practical ways that make their jobs easier and more productive: field mapping, variable-rate applications, automated steering systems.

GPS can pinpoint planting by automatically targeting seed spacing and depth according to soil type, so you end up with uniform crops that produce more. GPS also allows you to synchronize fertilizer and pesticide applications at precise points in a field which reduces expenses and environmental footprint.

: Gps tracking can be applied to costly farm machinery too, helping farmers quickly identify missing machines. It also cuts costs by making smaller teams of supervisors run bigger spaces.

Drones
Drones have revolutionized agriculture. Drones allow the farmer to monitor the growth and identify a fault early and thus produce higher yields without the use of more land.

: Drones with RGB or multispectral cameras will quickly pick up on bugs, infected plants, and other pests before they become serious threats, allowing farmers time to take action and cut costs on costly treatments.

Drones can also help to automate farm labour so workers can be freed up for more productive work. With self-piloted flight that makes drones autonomous, with preset paths for the flight, searching big areas for anomalies in a way that better surveying does without as much intervention by humans – drones are changing agriculture, increasing production and making it more sustainable.

Mobile Devices
Digital technology mobile apps provide farmers with the data they need for more informed farm management programmes: crop monitoring, soil analysis, image recognition, labour management programmes, to name a few.

It is because apps specifically developed to support Africa’s farmers are now downloadable on smartphones and other digital devices they can operate without the benefit of the Internet that they can immediately get quality input information, weather forecasts, disease outbreaks and market trends with the press of a button.

Such apps can also save time and money by automating repetitive operations, and tracking in real-time data to pinpoint yield gains, crop health, global food security, and negative environmental impacts. They’re also vital if the developing world wants to keep up with the world’s food supply – and reduce the harmful effects of agriculture on the planet.

Cloud Computing
Cloud computing is a data processing technology that companies can use on demand to allow agricultural players to process a large amount of fluctuating data without the expense of investing in expensive hardware infrastructure.

Farmers can use market intelligence available on cloud servers to make better decisions about crop investments and international connectivity.

Agriculture consultation professionals with access to cloud technology, offering their services in the cloud. And this kind of technology can also help the farmers because they can answer the questions easily without spending any time or money travelling; great for the farmers who live in the rural areas where transportation facilities are poor; it keeps the middleman from taking advantage of the farmer by reducing the price by eliminating middlemen.

Big Data
Analytics is changing all business, even agriculture. Data analytics, which can reduce food wastage and automate supply chains, has been a necessity for agribusinesses.

Even farming management systems can help farmers take better decision based on weather forecasts, nutrients, and pest infestations. Such information can make farms more productive and less expensive, conserve resources and support the environment.

Farmers can also benefit from big data for equipment repairs and downtime reduction. It could, for example, flag bacteria or toxic substances in their soil and adjust the chemical usage accordingly – saving time and money spent on repairs that don’t matter.