Proceedings :: International Society of Precision Agriculture

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Igwe, K.E

Iwasaki, Y

Brinton, C

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Authors

Umeda, H

Muramatsu, K

Kawagoe, Y

Sugihara, T

Shibusawa, S

Iwasaki, Y

Igwe, K.E

Onyekwelu, I

Sharda, V

Jha, S

Krogmeier, J

Buckmaster, D

Love, D.J

Grant, R.H

Crawford, M

Brinton, C

Wang, C

Cappelleri, D

Balmos, A

Topics

Precision Horticulture

Decision Support Systems

Big Data, Data Mining and Deep Learning

Type

Poster

Oral

Year

2018

2024

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Filter results3 paper(s) found.
1. Invasive and Non-Invasive Technology for Measuring Water Content of Crop Leaves in Greenhouse Horticulture Moisture status in the crop is closely related to various physiological activities of the crop. If we can measure the moisture status in the crop in real time, we can understand the photosynthetic activity, which is an important physiological activity for growing crops, and the movement of the product from photosynthesis. Therefore, we verified it is possible to measure water content of crop leaves nondestructively using invasive method and non-invasive method. As a non-invasive measurement method,... H. Umeda, K. Muramatsu, Y. Kawagoe, T. Sugihara, S. Shibusawa, Y. Iwasaki Download paper
2. Precision Irrigation Strategies for Climate-resilient Crop Production and Water Resource Management Deficit irrigation management practices that best optimize the use of limited water resources without impacting crop yield are necessary to ensure the sustainability of agricultural production. This is particularly crucial in regions characterized by semi-arid climate, like Western Kansas, where the challenge of depleting water resources is worsened by the occurrence of extreme climate conditions. Therefore, a data-driven irrigation management strategy such as one developed based on crop evapotranspiration... K.E. Igwe, I. Onyekwelu, V. Sharda
3. Design of an Autonomous Ag Platform Capable of Field Scale Data Collection in Support of Artificial Intelligence The Pivot+ Array is intended to serve as an innovative, multi-user research platform dedicated to the autonomous monitoring, analysis, and manipulation of crops and inputs at the plant scale, covering extensive areas. It will effectively address many constraints that have historically limited large-scale agricultural sensor and robotic research. This achievement will be made possible by augmenting the well-established center pivot technology, known for its autonomy, with robust power infrastructure,... S. Jha, J. Krogmeier, D. Buckmaster, D.J. Love, R.H. Grant, M. Crawford, C. Brinton, C. Wang, D. Cappelleri, A. Balmos Download paper

Filter results3 paper(s) found.

1. Invasive and Non-Invasive Technology for Measuring Water Content of Crop Leaves in Greenhouse Horticulture

Moisture status in the crop is closely related to various physiological activities of the crop. If we can measure the moisture status in the crop in real time, we can understand the photosynthetic activity, which is an important physiological activity for growing crops, and the movement of the product from photosynthesis. Therefore, we verified it is possible to measure water content of crop leaves nondestructively using invasive method and non-invasive method. As a non-invasive measurement method,... H. Umeda, K. Muramatsu, Y. Kawagoe, T. Sugihara, S. Shibusawa, Y. Iwasaki

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2. Precision Irrigation Strategies for Climate-resilient Crop Production and Water Resource Management

Deficit irrigation management practices that best optimize the use of limited water resources without impacting crop yield are necessary to ensure the sustainability of agricultural production. This is particularly crucial in regions characterized by semi-arid climate, like Western Kansas, where the challenge of depleting water resources is worsened by the occurrence of extreme climate conditions. Therefore, a data-driven irrigation management strategy such as one developed based on crop evapotranspiration... K.E. Igwe, I. Onyekwelu, V. Sharda

3. Design of an Autonomous Ag Platform Capable of Field Scale Data Collection in Support of Artificial Intelligence

The Pivot+ Array is intended to serve as an innovative, multi-user research platform dedicated to the autonomous monitoring, analysis, and manipulation of crops and inputs at the plant scale, covering extensive areas. It will effectively address many constraints that have historically limited large-scale agricultural sensor and robotic research. This achievement will be made possible by augmenting the well-established center pivot technology, known for its autonomy, with robust power infrastructure,... S. Jha, J. Krogmeier, D. Buckmaster, D.J. Love, R.H. Grant, M. Crawford, C. Brinton, C. Wang, D. Cappelleri, A. Balmos

Download paper