Proceedings :: International Society of Precision Agriculture

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Sun, X

Sutrisna Wijaya, I

Sadeghi, S

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Authors

Ashrafi, Z.Y

Alizadeh, H.M

Sadeghi, S

Rai, N

Zhang, Y

Quanbeck, J

Christensen, A

Sun, X

Sutrisna Wijaya, I

Topics

Big Data, Data Mining and Deep Learning

Type

Oral

Year

2008

2022

2025

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Filter results3 paper(s) found.
1. Effect of Soil Solarization, a Nonchemical Method, on the Control of Egyptian Boomrape (Orobanche Aegyptiaca) and Yield Improvement in Greenhouse Grown Cucumber Cucumber cultivation in the Mediterranean region is susceptible to infestation by the parasitic weed egyptian broomrape (Orobanche aegyptiaca), and severe yield losses can result. The effectiveness of solarization, a soil disinfection technique that uses passive solar heating, to control the incidence of broomrape under greenhouse conditions was studied over two growing seasons. Solarization was accomplished by the application of clear polyethylene sheets to moist soil for 50 to 65 d... Z.Y. Ashrafi, H.M. Alizadeh, S. Sadeghi Download paper
2. Spotweeds: a Multiclass UASs Acquired Weed Image Dataset to Facilitate Site-specific Aerial Spraying Application Using Deep Learning Unmanned aerial systems (UASs)-based spot spraying application is considered a boon in Precision Agriculture (PA). Because of spot spraying, the amount of herbicide usage has reduced significantly resulting in less water contamination or crop plant injury. In the last demi-decade, Deep Learning (DL) has displayed tremendous potential to accomplish the task of identifying weeds for spot spraying application. Also, most of the ground-based weed management technologies have relied on DL techniques... N. Rai, Y. Zhang, J. Quanbeck, A. Christensen, X. Sun Download paper
3. Enhancing Rice Disease Management: Estimating Pathogen Damage Through Multispectral Imaging Analysis This study investigates the application of multispectral imaging (MSI) in conjunction with machine learning algorithms for the early detection and estimation of pathogen damage in rice crops, with a specific focus on Bacterial Leaf Blight (BLB) and Blast diseases. Rice plays a crucial role in global food security, yet these diseases significantly compromise its production. Traditional diagnostic methods are often labor-intensive and time-consuming, necessitating the adoption of innovative technologies.... I. Sutrisna Wijaya Download paper

Filter results3 paper(s) found.

1. Effect of Soil Solarization, a Nonchemical Method, on the Control of Egyptian Boomrape (Orobanche Aegyptiaca) and Yield Improvement in Greenhouse Grown Cucumber

Cucumber cultivation in the Mediterranean region is susceptible to infestation by the parasitic weed egyptian broomrape (Orobanche aegyptiaca), and severe yield losses can result. The effectiveness of solarization, a soil disinfection technique that uses passive solar heating, to control the incidence of broomrape under greenhouse conditions was studied over two growing seasons. Solarization was accomplished by the application of clear polyethylene sheets to moist soil for 50 to 65 d... Z.Y. Ashrafi, H.M. Alizadeh, S. Sadeghi

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2. Spotweeds: a Multiclass UASs Acquired Weed Image Dataset to Facilitate Site-specific Aerial Spraying Application Using Deep Learning

Unmanned aerial systems (UASs)-based spot spraying application is considered a boon in Precision Agriculture (PA). Because of spot spraying, the amount of herbicide usage has reduced significantly resulting in less water contamination or crop plant injury. In the last demi-decade, Deep Learning (DL) has displayed tremendous potential to accomplish the task of identifying weeds for spot spraying application. Also, most of the ground-based weed management technologies have relied on DL techniques... N. Rai, Y. Zhang, J. Quanbeck, A. Christensen, X. Sun

Download paper

3. Enhancing Rice Disease Management: Estimating Pathogen Damage Through Multispectral Imaging Analysis

This study investigates the application of multispectral imaging (MSI) in conjunction with machine learning algorithms for the early detection and estimation of pathogen damage in rice crops, with a specific focus on Bacterial Leaf Blight (BLB) and Blast diseases. Rice plays a crucial role in global food security, yet these diseases significantly compromise its production. Traditional diagnostic methods are often labor-intensive and time-consuming, necessitating the adoption of innovative technologies.... I. Sutrisna Wijaya

Download paper