Proceedings :: International Society of Precision Agriculture

Proceedings

Find matching any: Reset

Moulton, H

Furukawa, T

Morales, G

Milic, D

Mansouri, M.M

Mishamo, M

» Add more authors

Add filter to result:

Authors

Hongo, C

Furukawa, T

Sigit, G

Maki, M

Honma, K

Yoshida, K

Oki, K

Shirakawa, H

Mansouri, M.M

Zamzow, M

Moulton, H

Tagarakis, A.C

van Evert, F

Milic, D

Crnojevic, V

Crnojevic-Bengin, V

Kempenaar, C

Ljubicic, N

Morales, G

Sheppard, J.W

Peerlinck, A

Hegedus, P

Maxwell, B

Frimpong, K.A

Phillips, S

Aduramigba-Modupe, V

Fassinou Hotegni, N

MECHRI, M

Mishamo, M

Sogbedji, J.M

Hazzoumi, Z

Chikowo, R

Fodjo Kamdem, M

Topics

Remote Sensing Applications in Precision Agriculture

Food Security and Precision Agriculture

Remote Sensing Applications in Precision Agriculture

Small Holders and Precision Agriculture

Big Data, Data Mining and Deep Learning

Extension or Outreach Education of Precision Agriculture

Type

Poster

Oral

Year

2012

2014

2016

2018

2022

2024

Home » Authors » Results

Authors

Filter results6 paper(s) found.
1. Estimation of Rice Yield from MODIS Data in West Java, Indonesia Chiharu Hongo1*, Takaaki Furukawa1, Gunardi Sigit2, Masayasu Maki3, Koki Honma3,... C. Hongo, T. Furukawa, G. Sigit, M. Maki, K. Honma, K. Yoshida, K. Oki, H. Shirakawa Download paper
2. Predicting Winter Wheat Biomass And Grain Protein Content Dynamic crop models such as EPIC [1], SALUS [2], and STICS [3] are non-linear models that describe the growth and development of a crop interacting with environmental factors (soil and climate) and agricultural practices (crop species, tillage type, fertilizer amount…). They are developed to predict crop yield and quality or to optimize the farming practices in order to satisfy agricultural objectives, as the reduction of nitrogen lixiviation. More recently, crop... M.M. Mansouri Download paper
3. AGOC: Agriculture Operations Center After another long day, the farmer sits down in front of a computer (wishing this time was instead spent on the front porch catching a last glimpse of the sunset), and reflects once again ... What if ... I actually knew the health of 100% of my crops rather than what I know today. a mere 20%. What if ... there was an effective, simple way to synchronize crop scouting and crop imagery efforts. What... M. Zamzow, H. Moulton Download paper
4. Opportunities for Precision Agriculture in Serbia The aim of this paper is to analyze the factors leading to low adoption rate of precision farming in Serbia and to describe steps being taken by BioSense institute to increase it. The majority of the arable land in Serbia is grown by small family owned and operated farms most of which are in the range of 2 to 5 ha making them highly unsustainable. Only 16% of the arable land is managed by agricultural companies and cooperatives. We believe that the adoption of advanced technologies with the currently... A.C. Tagarakis, F. Van evert, D. Milic, V. Crnojevic, V. Crnojevic-bengin, C. Kempenaar, N. Ljubicic Download paper
5. Generation of Site-specific Nitrogen Response Curves for Winter Wheat Using Deep Learning Nitrogen response (N-response) curves are tools used to support farm management decisions. Conventionally, the N-response curve is modeled as an exponential function that aims to identify an important threshold for a given field: the economic optimum point. This is useful to determine the nitrogen rate beyond which there is no actual profit for the farmers. In this work, we show that N-response curves are not only field-specific but also site-specific and, as such, economic optimum points should... G. Morales, J.W. Sheppard, A. Peerlinck, P. Hegedus, B. Maxwell Download paper
6. Transforming Precision Agriculture Education, Research and Outreach in Sub-saharan Africa Through Intra-africa Cooperation Productivity and profitability of sub-Saharan (SSA) agriculture can be enhanced greatly through the adoption of precision agriculture technologies and tools. However, until 2020 when the African Plant Nutrition Institute (APNI) established the African Association for Precision Agriculture (AAPA), most SSA PA enthusiast worked in isolation. The AAPA was formed to innovate Africa’s agricultural industry by connecting PA science to its practice and disseminate PA tailored to the needs... K.A. Frimpong, S. Phillips, V. Aduramigba-modupe, N. Fassinou hotegni, M. Mechri, M. Mishamo, J.M. Sogbedji, Z. hazzoumi, R. Chikowo, M. Fodjo kamdem

Filter results6 paper(s) found.

1. Estimation of Rice Yield from MODIS Data in West Java, Indonesia

Chiharu Hongo1*, Takaaki Furukawa1, Gunardi Sigit2, Masayasu Maki3, Koki Honma3,... C. Hongo, T. Furukawa, G. Sigit, M. Maki, K. Honma, K. Yoshida, K. Oki, H. Shirakawa

Download paper

2. Predicting Winter Wheat Biomass And Grain Protein Content

Dynamic crop models such as EPIC [1], SALUS [2], and STICS [3] are non-linear models that describe the growth and development of a crop interacting with environmental factors (soil and climate) and agricultural practices (crop species, tillage type, fertilizer amount…). They are developed to predict crop yield and quality or to optimize the farming practices in order to satisfy agricultural objectives, as the reduction of nitrogen lixiviation. More recently, crop... M.M. Mansouri

Download paper

3. AGOC: Agriculture Operations Center

After another long day, the farmer sits down in front of a computer (wishing this time was instead spent on the front porch catching a last glimpse of the sunset), and reflects once again ... What if ... I actually knew the health of 100% of my crops rather than what I know today. a mere 20%. What if ... there was an effective, simple way to synchronize crop scouting and crop imagery efforts. What... M. Zamzow, H. Moulton

Download paper

4. Opportunities for Precision Agriculture in Serbia

The aim of this paper is to analyze the factors leading to low adoption rate of precision farming in Serbia and to describe steps being taken by BioSense institute to increase it. The majority of the arable land in Serbia is grown by small family owned and operated farms most of which are in the range of 2 to 5 ha making them highly unsustainable. Only 16% of the arable land is managed by agricultural companies and cooperatives. We believe that the adoption of advanced technologies with the currently... A.C. Tagarakis, F. Van evert, D. Milic, V. Crnojevic, V. Crnojevic-bengin, C. Kempenaar, N. Ljubicic

Download paper

5. Generation of Site-specific Nitrogen Response Curves for Winter Wheat Using Deep Learning

Nitrogen response (N-response) curves are tools used to support farm management decisions. Conventionally, the N-response curve is modeled as an exponential function that aims to identify an important threshold for a given field: the economic optimum point. This is useful to determine the nitrogen rate beyond which there is no actual profit for the farmers. In this work, we show that N-response curves are not only field-specific but also site-specific and, as such, economic optimum points should... G. Morales, J.W. Sheppard, A. Peerlinck, P. Hegedus, B. Maxwell

Download paper

6. Transforming Precision Agriculture Education, Research and Outreach in Sub-saharan Africa Through Intra-africa Cooperation

Productivity and profitability of sub-Saharan (SSA) agriculture can be enhanced greatly through the adoption of precision agriculture technologies and tools. However, until 2020 when the African Plant Nutrition Institute (APNI) established the African Association for Precision Agriculture (AAPA), most SSA PA enthusiast worked in isolation. The AAPA was formed to innovate Africa’s agricultural industry by connecting PA science to its practice and disseminate PA tailored to the needs... K.A. Frimpong, S. Phillips, V. Aduramigba-modupe, N. Fassinou hotegni, M. Mechri, M. Mishamo, J.M. Sogbedji, Z. hazzoumi, R. Chikowo, M. Fodjo kamdem