Remote Sensing

GIS - The integral part of precision agriculture

Step up your precision farming game with KhetiBuddy’s GIS-based agronomy applications. Are you looking to increase food production of your farms or farmer-networks? This system can help you geotag farms and recommend activities that can optimize farms to keep crops & soil healthier. With GIS information, you'll be able to create more effective and efficient farming techniques.

Rethink remote sensing by sensitizing it for agricultural practices

Are you looking for a way to make better, more informed decisions on the farm? Introduce GIS to your precision farming process – a technology that can help you visualize data and analyze spatial information for improving and optimizing farming processes. With GIS, you can monitor the health of individual crops, estimate yields, and adapt to different variables. So if you're looking for a tool that can help you make smarter choices, GIS is the answer.

The real power of GIS, though, lies in its ability to build algorithms based on these datasets for identifying its impact on farms and taking suitable recourse of farming activities. KhetiBuddy’s GIS has focused developing of a farming-oriented, several layered spatial data, for analysis with variables such as crop based indices, soil based indices, soil type, wind direction, rainfall amount, slope, site suitability, and risk prevention from drought, erosion, and flood. GIS can help a farmer adapt to these different variables, monitor the health of individual crops, estimate yields from a given field, and maximize crop production.

crop management
Crop Management

Yield focused algorithms

Crop health status
Crop yield estimation
Crop sown area estimation
Crop growth indicators
water stress
Water Stress Management

Maintaining optimal water levels

Soil moisture status
Moisture stress levels
Mapping water sources
Identifying crop-based water requirement

Applications of GIS for Agriculture

The Geographic Information System (GIS) is a powerful tool used by agronomists and farmers to create more efficient farming techniques. By mapping farmland, GIS can help identify areas that are struggling to produce food. With this information, agronomists can work with farmers to improve crop production and optimize agri-chemical consumption. Here are some of the use-cases of GIS for agriculture:
Go beyond gathering and analyzing GIS data; build farm operational responsiveness driven by data with KhetiBuddy’s GIS implementation process.

FAQs on GIS for Agriculture

Yes, that is irrespective of the crops. The algorithm can be tweaked or framed provided the input for development interdependency logics of farming practices using multiple datasets.
With GIS data, you’re in a position to make informed decisions on all aspects of your farming process that concerns resource management. On a broader scale, you’ll be able to optimize your crop’s nutrient management, crop’s health and growth throughout its life-cycle, irrigation management, weed management, and farm activity management for best results.