Proceedings :: International Society of Precision Agriculture

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Dash, M

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Authors

Saxena, A

Dash, M

Verma, A.P

Sharma, A

Jalem, R.S

Dash, M

Topics

Geospatial Data

Smart Weather for Precision Agriculture

Type

Poster

Oral

Year

2022

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Filter results2 paper(s) found.
1. Cloud Correction of Sentinel-2 NDVI Using S2cloudless Package Optical satellite-derived Normalized Difference Vegetation Index (NDVI) is by far the most commonly used vegetation index value for crop monitoring. However, it is quite sensitive to the cloud, and cloud shadows and significantly decreases its usability, especially in agricultural applications. Therefore, an accurate and reliable cloud correction method is mandatory for its effective application. To address this issue, we have developed an approach to correct the NDVI values of each and every... A. Saxena, M. Dash, A.P. Verma Download paper
2. Micro-climate Prediction System Using IoT Data and AutoML Microclimate variables like temperature, humidity are sensitive to land surface properties and land-atmosphere connections. They can vary over short distances and even between sections of the farm. Getting the accurate microclimate around the crop canopy allows farmers to effectively manage crop growth. However, most of the weather forecast services available to farmers globally, either by the meteorological department or universities or some weather app, provide weather forecasts for larger... A. Sharma, R.S. Jalem, M. Dash Download paper

Filter results2 paper(s) found.

1. Cloud Correction of Sentinel-2 NDVI Using S2cloudless Package

Optical satellite-derived Normalized Difference Vegetation Index (NDVI) is by far the most commonly used vegetation index value for crop monitoring. However, it is quite sensitive to the cloud, and cloud shadows and significantly decreases its usability, especially in agricultural applications. Therefore, an accurate and reliable cloud correction method is mandatory for its effective application. To address this issue, we have developed an approach to correct the NDVI values of each and every... A. Saxena, M. Dash, A.P. Verma

Download paper

2. Micro-climate Prediction System Using IoT Data and AutoML

Microclimate variables like temperature, humidity are sensitive to land surface properties and land-atmosphere connections. They can vary over short distances and even between sections of the farm. Getting the accurate microclimate around the crop canopy allows farmers to effectively manage crop growth. However, most of the weather forecast services available to farmers globally, either by the meteorological department or universities or some weather app, provide weather forecasts for larger... A. Sharma, R.S. Jalem, M. Dash

Download paper