Ahmed Asaad ZaeenUniversity of Baghdad · Remote Sensing Unit
Ahmed Asaad Zaeen
PhD-Ecology and Environmental Sciences-University of Maine
University of Baghdad, College of Science-working in
Agricultural and Remote sensing fields
About
21
Publications
11,248
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146
Citations
Introduction
Using active sensors to generate Nitrogen recommendation and yield prediction for potato crop
Additional affiliations
Education
July 2017 - May 2020
University of Maine
Field of study
- Agriculture
Publications
Publications (21)
Applications of remote sensing are important in improving potato production through the broader adoption of precision agriculture. This technology could be useful in decreasing the potential contamination of soil and water due to the over-fertilization of agriculture crops. The objective of this study was to assess the utility of active sensors (Cr...
Nitrogen (N) fertilizer rate is important for high yield and good quality of potato tubers. In this dissertation, I seek to study the response of different potato cultivars under different N fertilizer rates and how that can impact tuber quality, examine the performance of active optical sensors in improving a potato yield prediction algorithm, and...
Crop yield prediction is a critical measurement, especially in the time when parts of the world are suffering from farming issues. Yield forecasting gives an alert regarding economic trading, food production monitoring, and global food security. This research was conducted to investigate whether active optical sensors could be utilized for potato (...
Undesirable growth of potato (Solanum tuberosum L.) crop under an excessive N fertilizer application is the main obstacle presently. This research was conducted to investigate the response of different potato cultivars; Russet Burbank, Shepody, and Superior, and its qualitative characteristics under a series of N rates. Six rates of N fertilization...
In this study, data or X-ray images Fixable Image Transport System (FITS) of objects were analyzed, where energy was collected from the body by several sensors; each sensor receives energy within a specific range, and when energy was collected from all sensors, the image was formed carrying information about that body. The images can be transferred...
Assessing the accuracy of classification algorithms is paramount as it provides insights into reliability and effectiveness in solving real-world problems. Accuracy examination is essential in any remote sensing-based classification practice, given that classification maps consistently include misclassified pixels and classification misconceptions....
The extraction, study, and accurate interpretation of the morphology database of a basin are the basic blocks for building a valid geomorphological understanding of this basin. In this work, a new approach is presented which is to use three different GIS based methods to extract databases with specific geographical information and then use the conc...
The increased food requirement puts intense pressure on the agriculture community to grow more from the same resources resulting in people leaving the farming business. This happened not exclusively due to the industrial pressure to produce more but to the lack of technology adoption among growers. The use of the sensor in agriculture is not new, b...
Nowadays, a strong relationship between the agriculture sectors and digital technologies is really interesting. The article describes how recent intelligent technologies can improve agricultural fields. Mobile applications are software programs created on smartphones, tablets, and computers. Agricultural fields mainly represent the pillar of the ec...
In this study, data or X-ray images Fixable Image Transport System (FITS) of objects were analyzed, where energy was collected from the body by several sensors; each sensor receives energy within a specific range, and when energy was collected from all sensors, the image was formed carrying information about that body. The images can be transferred...
This study was performed to determine whether active optical sensors could develop an algorithm for N recommendation for the potato crop (Solanum tuberosum L.). The experiment was conducted in Maine State, (USA) during the growing season of 2018-2019. Six N rates (0-280 kg ha-1) were applied on eleven locations under a randomized complete block des...
Urbanization phenomenon did expand rapidly in Baghdad-Iraq due to security improvement and the human desire for daily services availability, where reducing the agricultural lands "Greenlands" negatively affected the climate rate. The relationship between urban expansion and relative humidity was studied from 2008 to 2018 using remote sensing data (...
Phosphorus (P) is an element that is potatoes require in large amounts. Soil pH is a crucial factor impacting phosphorus availability in potato production. This study was conducted to evaluate the influence of P application rates on the P efficiency for tuber yield, specific gravity, and P uptake. Additionally, the relationship between soil pH and...
Optical sensors are commonly used by the researchers to improve yield estimated in commercial crops.
This study was carried out in two states in two different crops, corn and potatoes, 2011–2013 and 2017, respectively.
The objectives of the study were to evaluate ground based optical sensors to predict yield potential across multiple locations, soi...
Ground-based active optical sensors (GBAOS) have been successfully used in agriculture to predict crop yield potential (YP)
early in the season and to improvise N rates for optimal crop
yield. However, the models were found weak or inconsistent due
to environmental variation especially rainfall. The objectives of
the study were to evaluate if GBAOS...
Recent phosphorus (P) pollution in the United States, mainly in Maine, has raised some severe concerns over the use of P fertilizer application rates in agriculture. Phosphorus is the second most limiting nutrient after nitrogen and has damaging impacts on crop yield if found to be deficient. Therefore, farmers tend to apply more P than is required...
Image of landsate-7 taken by thematic mapper was used and classified using supervised method. Results of supervised classification indicated presence of nine land cover classes. Salt-soils class shows the highest reflectance value while water bodies' class shows the lowest values. Also the results indicated that soil properties show different effec...
Landsat-5 Thematic Mapper (TM) has been imaging the Earth since March 1984 and Landsat-7 Enhanced Thematic Mapper Plus (ETM+) was added to the series of Landsat instruments in April 1999. In this paper the two sensors are used to monitoring the agriculture condition and detection the changing in the area of plant covers, the stability and calibrati...
Questions
Questions (12)
How can interpret ANOVA if the significant difference was between treatments only, not with control?
Hi,
Please, my project has been designed as RCBD. I have missing data, how can I use SPSS to fix the missing data
Is there any method to extract or measure starch in potato without using a centrifuge ?
Hi All,
I am working on GreenSeeker and Crop Circle, to calculate NDVI. I know that the range is between -1 to +1, but I have got a value more than 1.0, is it OK, or there is something wrong?
is there a relationship between soil clay content and plant moisture stress?
How can I apply a wavelet for data set via ArcGIS?
CoKriging, some people said co-kriging that we can make via ArcGIS is not true, because co-kriging depends on cross variogram and ArcGIS does not develop it during the process. is that correct?
I want to make soil texture map using either ArcGIS or ERDAS. I have the data for Sand, Silt, and Clay