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 5 Tech Trends to know in Farmland Management

By Mr. Vijay Chaudhary, Chairman of Ram Rattan Group

Mr.Vijay Chaudhary

With technological developments, agricultural land management is changing. The most recent technological trends and advancements must be understood if one is to keep ahead in this industry. The following tech developments in farmland management should be noted:

  1. Farm Management Software: 

Platforms for farm management include tools for monitoring farm activities, such as crop planning, inventory management, and financial tracking. These platforms aid in decision-making improvement and task streamlining for farm management.

  1. Artificial Intelligence (AI) and Machine Learning: 

Large amounts of data may be analyzed by AI and machine learning algorithms to forecast agricultural yields, disease outbreaks, and the best times for planting. They can also automate other agriculture chores, such as packing and sorting.

  1. Environmental Monitoring: 

Technologies for monitoring and reducing the environmental impact of farming practises are becoming more and more important as a result of the increased focus on sustainability and environmental stewardship. This comprises instruments for evaluating the conservation of biodiversity, clean water, and carbon sequestration.

  1. Blockchain for Supply Chain Management: 

Supply chains for agricultural products are being made transparent and secure via blockchain technology. By ensuring authenticity and traceability, this lowers fraud and raises food safety.

  1. Precision Agriculture: 

Data on soil conditions, weather patterns, and crop health are gathered using technologies like GPS, sensors, drones, and remote sensing. In order to increase yields and resource efficiency, planting, irrigation, and fertilisation are optimised using this data.

Data on soil conditions, weather patterns, and crop health are gathered using technologies like GPS, sensors, drones, and remote sensing. In order to increase yields and resource efficiency, planting, irrigation, and fertilisation are optimised using this data.

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