Micro and macro plant nutrient are crucial for plant's especially crops' growth, development and yields. Excessive use of synthetic fertilizer increase crops vulnerability to disease & pests. on the contrary it create lower use retarded growth. Both case result lower yields, degrades soils, increase GHG emissions. It is not possible to analyze soils for identification of plant demand of fertilizer. Some sensor are working well in this connection but huge cost, technological knowledge gap and management problem associated with it. If it is possible to measure crops demand for synthetic fertilizer remotely using hyperspectral imagery, would be easy and efficient technique. Is it possible?
Yes, it's possible to use GIS and remote sensing (RS) techniques to assess the fertilizer demand of a standing crop in real time. GIS (geographic information systems) and remote sensing (RS) techniques can be used to assess soil and plant nutrient levels, including micronutrients, to improve crop health and reduce cultivation costs. Analyzing land use changes, Assessing land for crop planting, Managing problematic soils, Enhancing crop yield estimation, and Damage assessment. The GIS and RS techniques help in improving the nutritional status of significant agricultural areas. The use of GIS and RS can reduce the costs for farmers and enhance the efficiency of fertilizers for crops that ultimately reduce nutritional stress by using site-specific nutrient management techniques:
The use of multispectral sensors (tractor-based, UAV-based or satellite-based) to assess crop condition is quite common. The multispectral data are used to calculate various vegetation indices. The main problem with vegetation indices such as NDVI, REIP etc. is that they describe plant patterns and not the nutritional status of the crop stand. Nevertheless, the method is often used to determine spatial differences in crop development and growth to identify zones with different fertiliser requirements. However, the system works well when, for example, nitrogen is the limiting factor and all other factors such as other macro and micro nutrients are sufficiently supplied and pests do not significantly affect the vegetation indices.
نعم ، لقد لعب نظام المعلومات الجغرافية، إلى جانب التقنيات الأخرى مثل الاستشعار عن بعد، ونظام تحديد المواقع العالمي ، وتحليلات البيانات ، دورًا محوريًا في مراقبة المحاصيل وتنفيذ ممارسات الإدارة المثلى والمستهدفة لتحسين إنتاجية المحاصيل . وكذلك يمكن استخدام نظم المعلومات الجغرافية والبحث العلمي لتحليل البيانات الجغرافية المتعلقة بالمحاصيل مثل نوع التربة ، الطقس ، والموارد المائية ، مما يساعد في تحديد الكميات المثلى من الاسمدة المطلوبة لكل محصول ، كما يسهم ايضا في فهم تأثير الاسمدة على الانتاجية وجودة المحاصيل
Yes, it is possible to assess real-time fertilizer demand by standing crop using GIS and RS techniques. This can be done by analyzing soil and plant nutrient levels, including micronutrients, using geographic information systems (GIS) and remote sensing (RS) techniques. Have a look on the following research articles.
As mentioned in the provided text, experts have suggested using multispectral sensors, such as tractor-based, UAV-based, or satellite-based sensors, to assess crop condition and calculate vegetation indices like NDVI and REIP.
Yes, it is possible to assess real-time fertilizer demand of standing crops using GIS (Geographic Information Systems) and RS (Remote Sensing) techniques.
Modern RS technologies, such as multispectral and hyperspectral imaging, allow for the monitoring of crop health indicators like chlorophyll content, nitrogen levels, and vegetation indices (e.g., NDVI, EVI). These indicators are directly linked to nutrient status and can be integrated into GIS platforms to generate spatially explicit fertilizer demand maps.
Studies highlight the use of drones, satellite imagery (e.g., Sentinel-2, Landsat), and ground truthing for real-time data collection. Machine learning models and crop simulation tools further enhance the precision of nutrient demand assessments. This approach supports site-specific nutrient management, reducing fertilizer overuse, minimizing environmental impact, and optimizing crop productivity.
Yes, GIS (Geographic Information Systems) and RS (Remote Sensing) techniques can be used to assess real-time fertilizer demand for standing crops. This is achieved by analyzing satellite or drone imagery to evaluate crop health using indices like NDVI, combined with soil and weather data. Agricultural models support decision-making to determine the precise types and amounts of fertilizers needed, improving efficiency, reducing costs, and minimizing environmental impact.
- Badges
- Science topic
- Similar topics
- Agriculture
- Horticulture
- Seeds