GIS is primarily used in agriculture for land use planning, which involves determining the optimal allocation of land for different crops based on factors such as soil type, climate, and water availability.

GIS can be used for crop monitoring by providing real-time data on crop health, identifying areas with potential yield loss, and tracking the movement of pests and diseases.

Remote sensing is commonly used for yield estimation in GIS, as it allows for the collection of data on crop growth and development over large areas.

Precision agriculture aims to increase crop yields, reduce the use of pesticides and fertilizers, and improve the quality of agricultural products by using GIS and other technologies to manage inputs and operations more precisely.

GIS can help in managing soil fertility by identifying areas with nutrient deficiencies, creating soil maps, and recommending appropriate fertilizer application rates.

GIS applications that use GPS, GNSS, and RTK technologies can be used for tracking the movement of agricultural machinery.

GIS contributes to the development of sustainable agricultural practices by optimizing the use of resources, reducing environmental impact, and improving the resilience of agricultural systems.

Geostatistics, spatial interpolation, and cluster analysis are all GIS techniques that can be used for analyzing the spatial distribution of agricultural data.

GIS can help in managing agricultural pests and diseases by identifying areas with high pest and disease incidence, tracking the movement of pests and diseases, and developing pest and disease management strategies.

LiDAR, photogrammetry, and radar interferometry are all GIS applications that can be used for creating digital elevation models (DEMs).

GIS contributes to the development of agricultural policies by providing data for decision-making, analyzing the impact of agricultural policies, and facilitating stakeholder participation.

Crop growth modeling, climate modeling, and land use modeling are all GIS techniques that can be used for modeling the impact of climate change on agriculture.

GIS can be used to improve the efficiency of agricultural supply chains by optimizing transportation routes, tracking the movement of agricultural products, and managing inventory levels.

ArcGIS, QGIS, and Google Earth are all GIS applications that can be used for creating interactive maps for agricultural decision-making.

GIS can contribute to the development of agricultural education and research by providing data for research, developing educational materials, and facilitating collaboration between researchers and educators.