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Gachene, C.K

Lin, S

Martinsson, J

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Authors

Biswas, A

Fu, Y

Taneja, P

Lin, S

Daggupati, P

Vasava, H

Alshihabi, O

Nouiri, I

Mechri, M

Angar, H

Piikki, K

Martinsson, J

Söderström, M

Mongína, D

Gachene, C.K

Kironchi, G

Topics

Proximal and Remote Sensing

Decision Support Systems

Water Management for Precision Agriculture

Type

Oral

Year

2020

2024

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Authors

Filter results3 paper(s) found.
1. Estimating soil organic carbon from cell phone images Soil organic matter (SOM) is considered as the backbone of soil health and soil quality. Thus, its’ estimation is critical to support the development of management decision including precision agriculture. To overcome challenges of laborious, rather expensive and time-consuming laboratory measurements, recent advances in image acquisition systems provided a new dimension of image-based SOM prediction. However, challenges remain in using soil images taken directly in the field due to variable... A. Biswas, Y. Fu, P. Taneja, S. Lin, P. Daggupati, H. Vasava Download paper
2. CropSAT – opportunities for applications in precision agriculture in Africa The present paper aims at describing the CropSAT system, a Sentinel-2-based interactive decision support system (DSS) that provides vegetation index (VI) maps free-of-charge all across the globe for different applications in precision agriculture. We summarize research results from the ongoing developmental process and pointing to opportunities for development and application in precision agriculture in Africa. The DSS was initially developed in a research project at the Swedish University of... O. Alshihabi, I. Nouiri, M. Mechri, H. Angar, K. Piikki, J. Martinsson, M. Söderström Download paper
3. Factors Influencing Farmers’ Decisions on Timing and Application Rates of Irrigation Water in Semi-Arid Regions: A Case-Study of Mwala, Machakos County, Kenya This study investigates the factors influencing farmers’ decisions on water application in arid and semi-arid regions, where water shortages are prevalent due to low and unreliable rainfall. The research involved interviewing 41 farmers registered under the Equity Group Foundation extension scheme, focusing on their irrigation scheduling techniques, timing, application rates, and other factors such as plant and soil conditions. The study also involved laboratory analysis of soil samples... D. Mongína, C.K. Gachene, G. Kironchi Download paper

Filter results3 paper(s) found.

1. Estimating soil organic carbon from cell phone images

Soil organic matter (SOM) is considered as the backbone of soil health and soil quality. Thus, its’ estimation is critical to support the development of management decision including precision agriculture. To overcome challenges of laborious, rather expensive and time-consuming laboratory measurements, recent advances in image acquisition systems provided a new dimension of image-based SOM prediction. However, challenges remain in using soil images taken directly in the field due to variable... A. Biswas, Y. Fu, P. Taneja, S. Lin, P. Daggupati, H. Vasava

Download paper

2. CropSAT – opportunities for applications in precision agriculture in Africa

The present paper aims at describing the CropSAT system, a Sentinel-2-based interactive decision support system (DSS) that provides vegetation index (VI) maps free-of-charge all across the globe for different applications in precision agriculture. We summarize research results from the ongoing developmental process and pointing to opportunities for development and application in precision agriculture in Africa. The DSS was initially developed in a research project at the Swedish University of... O. Alshihabi, I. Nouiri, M. Mechri, H. Angar, K. Piikki, J. Martinsson, M. Söderström

Download paper

3. Factors Influencing Farmers’ Decisions on Timing and Application Rates of Irrigation Water in Semi-Arid Regions: A Case-Study of Mwala, Machakos County, Kenya

This study investigates the factors influencing farmers’ decisions on water application in arid and semi-arid regions, where water shortages are prevalent due to low and unreliable rainfall. The research involved interviewing 41 farmers registered under the Equity Group Foundation extension scheme, focusing on their irrigation scheduling techniques, timing, application rates, and other factors such as plant and soil conditions. The study also involved laboratory analysis of soil samples... D. Mongína, C.K. Gachene, G. Kironchi

Download paper