Crop rotation and intercropping are agricultural practices, not technologies.

The Green Revolution focused on developing high-yielding crop varieties to increase agricultural productivity.

Precision agriculture encompasses various technologies to optimize crop production and resource utilization.

Artificial insemination, automated milking systems, and electronic identification systems have all contributed to improved livestock management efficiency.

Sustainable agriculture encompasses practices that aim to minimize environmental impact, conserve resources, and promote biodiversity.

Drones are used for various tasks in agriculture, but they do not replace manual labor entirely.

Vertical farming encompasses growing crops in vertically stacked layers, using artificial lighting, and employing hydroponic or aeroponic cultivation techniques.

Genetic engineering involves directly modifying an organism's DNA to introduce desired traits.

Satellite imagery and GPS technology are used for crop yield estimation, field mapping, and precision application of inputs.

Milking robots are not typically considered agricultural robots, as they are used in livestock management rather than crop production.

IoT in agriculture encompasses connecting equipment, collecting data, and automating processes.

Agricultural drones are primarily used for crop monitoring, pest detection, and livestock tracking, not soil analysis.

Precision agriculture involves variable rate application, site-specific management, and data-driven decision making.

Crop yield sensors are not typically considered agricultural sensors, as they measure the output rather than environmental or crop conditions.

Blockchain technology in agriculture is used for supply chain transparency, food safety, and fair trade practices.