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Top 5 Emerging Technologies in Agriculture

Innovation is more important than ever in modern agriculture. The industry as a whole is facing enormous challenges, including rising supply costs, a labor shortage, and changes in consumer preferences for transparency and sustainability. Agriculture corporations are becoming increasingly aware that solutions to these problems are required. Indoor vertical farming, automation, robotics, livestock technology, modern greenhouse practices, precision agriculture and artificial intelligence, and block-chain have all seen significant technological advancements.

Emerging technologies in agriculture

New Technological Innovations in Agriculture

Innovation is more important than ever in modern agriculture. The industry as a whole is facing enormous challenges, including rising supply costs, a labor shortage, and changes in consumer preferences for transparency and sustainability. Agriculture corporations are becoming increasingly aware that solutions to these problems are required. Indoor vertical farming, automation, robotics, livestock technology, modern greenhouse practices, precision agriculture & artificial intelligence, and block-chain have all seen significant technological advancements.

With that in mind, here are the 5 emerging technology that can change the agricultural landscape in the years ahead. 

1. Soil and water sensors

Soil and water sensors are likely to have the most immediate impact. These sensors are long-lasting, unobtrusive, and reasonably priced. Even small family farms can afford to spread them across their land, and they provide numerous benefits. These sensors, for example, can detect moisture and nitrogen levels, and the farm can use this data to determine when to water and fertilize rather than relying on a predetermined schedule.

This results in more efficient resource utilization and thus lower costs, but it also helps the farm be more environmentally friendly by conserving water, limiting erosion, and lowering fertilizer levels in local rivers and lakes.

Read more: Intelligent Technologies and Smart Farming- Cow Milking Machines

2. GIS-Based Agriculture 

The significant advantage of GIS-based agriculture is the use of satellites and drones to collect valuable data from a bird's-eye view on vegetation, soil conditions, weather, and terrain. Such information significantly improves decision-making accuracy.

Farmers can use geographic information systems (GIS) software to map current and future changes in precipitation, temperature, crop yields, plant health, and other variables. It also enables the use of GPS-based applications in conjunction with smart machinery to optimize fertilizer and pesticide application; farmers can save money, effort, and time because they no longer have to treat the entire field, but only treat specific areas.

3. Drones- Eye in the Sky

In comparison to satellites, drones provide data that is better and more accurate and has a higher resolution. Farmers now have the chance to define crop biomass, plant height, the presence of weeds, and water saturation on specific field areas with high accuracy thanks to drones.

Drones are also regarded as unrivaled allies in the fight against insects; the invasion is stopped by spraying insecticide on dangerous areas with drones, all while lowering the risk of chemical poisoning from direct exposure.

4. Collecting Data through Satellites 

With satellite data currently in use, yield predictions and field monitoring almost in real-time to detect a variety of threats have never been so simple.

As a result of the sensor's ability to provide imagery in a variety of spectra, many spectral indices, like the Normalized Difference Vegetation Index, can be applied (NDVI). The Canopy Chlorophyll Content Index (CCCI), which aids in the nutrient application, is the following. The Normalized Difference RedEdge (NDRE) then determines the amount of nitrogen present. The Modified Soil-Adjusted Vegetation Index (MSAVI), which was developed to reduce the impact of soil background at the earliest stages of plant development, is the last on the list.

5. Various Data types were collected in one place 

The EOS Crop Monitoring platform combines data from various sources, including weather data, information on field activities, satellite-derived incides, and more. You can gain deeper insights into the condition of crops and how to best care for them by having all this information organized and conveniently in one place.

Read more: Modern Farming: Applying Modern Tech to Agriculture

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