Top Agritech trends- Agriculture Industry in 2022

Growing population, adverse climate events, and land constraints have all put enormous strain on the agriculture sector. The demand for low-cost, high-quality food is at an all-time high pedestrian, and there is an urgent need to implement sustainable agricultural practices. All of these changes in consumer behavior and demands imply that the sector must adopt new technologies and farming practices. The agricultural sector will benefit greatly from agritech integration.

Top Agritech trends

Several advanced agritech trends are expected to drive growth and sustainability in the agriculture sector in 2022 and beyond.

1. Aerial imaging is becoming more popular.

Crop management is made easier with aerial imaging. Farmers can detect changes more quickly with the help of aerial technologies such as drone technology and satellite imaging, allowing for more effective monitoring of crop health and drought conditions, as well as monitoring the need for resources to manage crops.

2. Focusing on Sustainability through Modern Technology 

AI and other intelligent technologies will enable the use of relevant data in decision-making, leading to low-input agriculture. IoT technology can be used to improve agricultural sustainability, optimize the use of agricultural resources, and increase crop yields.

3. Regenerative Agriculture Implementation 

This year will see a greater emphasis on regenerative agriculture through the use of advanced technologies. Regenerative agriculture focuses on restoring farm soil vitality and health while also improving water retention. Several new technologies will be used to achieve these objectives.

Sensors, Internet of Things (IoT)-powered smart irrigation, and drones enable farmers to make better decisions based on soil humidity, temperature, pH, moisture, and nutrients. Artificial intelligence and machine learning applications are used to generate recommendations for improved soil health.

4. Precise Yield Prediction 

AI and machine learning will be used to help decision-makers decide what to do during the crop's growing season and which crops to grow for which conditions. Convolutional neural networks, for example, can predict crop yield months before harvest.

5. Field Mapping 

Field mapping entails the use of GIS (Geographical Information System) technologies to assist farmers in mapping their fields and extracting data about them to accomplish the following goals: process data, manage their farm efficiently, and obtain valuable decision support.

Farmers can collect timely geospatial information related to plant and soil requirements to visualize crops and variability.

6. AgroBots 

Agricultural robots have the potential to solve a wide range of problems on the farm. They can operate in any condition and carry out a variety of critical tasks on the field while minimizing losses. They are viewed as a possible solution to the problem of rising food demand due to their high levels of efficiency in the field. These robots can assist farmers with repetitive tasks such as seeding, planting, harvesting, spraying, and weeding, providing farming practices with unrivaled efficiency and productivity.

Post-covid, the agricultural sector's uncertainty quotient has skyrocketed. These agritech trends will assist farmers in increasing production while remaining sustainable and cost-effective. They will also shape industry investments and emerging entrepreneurial business models.

Also Read: While Selecting an agriculture drone keep these things in mind.