Proceedings :: International Society of Precision Agriculture

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Snevajs, H

Sheshadri, T

Pritsolas, J

Schmer, M

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Authors

Shaver, T

Schmer, M

Irmak, S

Van Donk, S

Wienhold, B

Jin, V

Bereuter, A

Francis, D

Rudnick, D

Ward, N

Hendrickson, L

Ferguson, R.B

Adamchuk, V.I

Giriyappa, M

Sheshadri, T

Hanumanthappa, D

Shankar, M

Salimath, S.B

Rudramuni, T

Raju, N

Devakumar, N

Mallikaarjuna, G

Malagi, M.T

Jangandi, S

Kyveryga, P.M

Pritsolas, J

Connor, J

Pearson, R

Charvat, K

Berzins, R

Bergheim, R

Zadrazil, F

Macura, J

Langovskis, D

Snevajs, H

Kubickova, H

Horakova, S

Charvat Jr., K

Topics

Spatial Variability in Crop, Soil and Natural Resources

Precision Nutrient Management

Remote Sensing Applications in Precision Agriculture

Geospatial Data

Type

Poster

Oral

Year

2012

2014

2016

2022

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Filter results4 paper(s) found.
1. Landscape Influences on Soil Nitrogen Supply and Water Holding Capacity for Irrigated Corn ... T. Shaver, M. Schmer, S. Irmak, S. Van donk, B. Wienhold, V. Jin, A. Bereuter, D. Francis, D. Rudnick, N. Ward, L. Hendrickson, R. Ferguson, V.I. Adamchuk Download paper
2. Precision Nutrient Management For Enhancing The Yield Of Groundnut In Peninsular India Groundnut is an important oil seed crop grown in an area of around 8 lakh hectares in Karnataka state of India under rainfed conditions. In these situations farmers applied inadequate fertilizer without knowing the initial nutrient status of the soil which resulted in low nutrient use efficiency that intern lead to low productivity of groundnut in these areas. Soil fertility deterioration due to... M. Giriyappa, T. Sheshadri, D. Hanumanthappa, M. Shankar, S.B. Salimath, T. Rudramuni, N. Raju, N. Devakumar, G. Mallikaarjuna, M.T. Malagi, S. Jangandi Download paper
3. Challenges and Successes when Generating In-season Multi-temporal Calibrated Aerial Imagery Digital aerial imagery (DAI) of the crop canopy collected by aircraft and unmanned aerial vehicles is the yardstick of precision agriculture. However, the quantitative use of this imagery is often limited by its variable characteristics, low quality, and lack of radiometric calibration. To increase the quality and utility of using DAI in crop management, it is important to evaluate and address these limitations of DAI. Even though there have been improvements in spatial resolution... P.M. Kyveryga, J. Pritsolas, J. Connor, R. Pearson Download paper
4. Map Whiteboard As Collaboration Tool for Smart Farming Advisory Services Precision agriculture, a branch of smart farming, holds great promise for modernization of European agriculture both in terms of environmental sustainability and economic outlook. The vast data archives made available through Copernicus and related infrastructures, combined with a low entry threshold into the domain of AI-technologies has made it possible, if not outright easy, to make meaningful predictions that divides individual agricultural fields into zones where variable rates... K. Charvat, R. Berzins, R. Bergheim, F. Zadrazil, J. Macura, D. Langovskis, H. Snevajs, H. Kubickova, S. Horakova, K. Charvat jr. Download paper

Filter results4 paper(s) found.

1. Landscape Influences on Soil Nitrogen Supply and Water Holding Capacity for Irrigated Corn

... T. Shaver, M. Schmer, S. Irmak, S. Van donk, B. Wienhold, V. Jin, A. Bereuter, D. Francis, D. Rudnick, N. Ward, L. Hendrickson, R. Ferguson, V.I. Adamchuk

Download paper

2. Precision Nutrient Management For Enhancing The Yield Of Groundnut In Peninsular India

Groundnut is an important oil seed crop grown in an area of around 8 lakh hectares in Karnataka state of India under rainfed conditions. In these situations farmers applied inadequate fertilizer without knowing the initial nutrient status of the soil which resulted in low nutrient use efficiency that intern lead to low productivity of groundnut in these areas. Soil fertility deterioration due to... M. Giriyappa, T. Sheshadri, D. Hanumanthappa, M. Shankar, S.B. Salimath, T. Rudramuni, N. Raju, N. Devakumar, G. Mallikaarjuna, M.T. Malagi, S. Jangandi

Download paper

3. Challenges and Successes when Generating In-season Multi-temporal Calibrated Aerial Imagery

Digital aerial imagery (DAI) of the crop canopy collected by aircraft and unmanned aerial vehicles is the yardstick of precision agriculture. However, the quantitative use of this imagery is often limited by its variable characteristics, low quality, and lack of radiometric calibration. To increase the quality and utility of using DAI in crop management, it is important to evaluate and address these limitations of DAI. Even though there have been improvements in spatial resolution... P.M. Kyveryga, J. Pritsolas, J. Connor, R. Pearson

Download paper

4. Map Whiteboard As Collaboration Tool for Smart Farming Advisory Services

Precision agriculture, a branch of smart farming, holds great promise for modernization of European agriculture both in terms of environmental sustainability and economic outlook. The vast data archives made available through Copernicus and related infrastructures, combined with a low entry threshold into the domain of AI-technologies has made it possible, if not outright easy, to make meaningful predictions that divides individual agricultural fields into zones where variable rates... K. Charvat, R. Berzins, R. Bergheim, F. Zadrazil, J. Macura, D. Langovskis, H. Snevajs, H. Kubickova, S. Horakova, K. Charvat jr.

Download paper