Proceedings :: International Society of Precision Agriculture

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Thimmegowda, M

Das, A.K

Tamba , H.M

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Authors

Dr., N

T, S

giriyappa, M

D.C, H

PATIL, B

Prabhudeva, D

Kombali, G

Noorasma, S

Thimmegowda, M

Mathew, J.J

Flores, P.J

Stenger, J

Miranda, C

Zhang, Z

Das, A.K

Scharlau, C.C

Krumreich, C.R

Pagani Neto, N

Tamba , H.M

Culda, B

Topics

Precision Nutrient Management

Precision Agriculture and Global Food Security

Agricultural Robotics, Automation, and Mechanization

Type

Oral

Poster

Year

2016

2022

2026

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Filter results3 paper(s) found.
1. Precision Nutrient Management Through Drip Irrigation in Aerobic Rice A field experiment was conducted during kharif 2015 to asses the spatial variability and precision nutrient management through drip irrigation in aerobic rice at ZARS, GKVK, Bangalore. The experimental field has been delineated into 48 grids of 4.5 m x 4.5 m using geospatial technology. Soil samples from 0-15 cm depth were collected and analysed. There was spatial variability for available nitrogen (154 to 277 kg ha-1), phosphorous (45 to 152 kg ha-1) and potassium... N. Dr., S. T, M. Giriyappa, H. D.c, B. Patil, D. Prabhudeva, G. Kombali, S. Noorasma, M. Thimmegowda Download paper
2. Comparative Analysis of Light-weight Deep Learning Architectures for Soybean Yield Estimation Based on Pod Count from Proximal Sensing Data for Mobile and Embedded Vision Applications Crop yield prediction is an important aspect of farming and food-production. Therefore, estimating yield is important for crop breeders, seed-companies, and farmers to make informed real-time financial decisions. In-field soybean (Glycine max L.(Merr.)) yield estimation can be of great value to plant breeders as they screen thousands of plots to identify better yielding genotypes that ultimately will strengthen national food security. Existing soybean yield estimation tools,... J.J. Mathew, P.J. Flores, J. Stenger, C. Miranda, Z. Zhang, A.K. Das Download paper
3. Monitoring, Automation, and Control System for Small Scale Silos Brazil has an important role in the global grain production scenario. However, the country’s grain storage infrastructure is usually inadequate and insufficient. The drying and storage of grains post-harvest are essential to ensure product quality, even over extended periods. In this context, research has been conducted on sensing, monitoring, and prediction of grain temperature and humidity, as well as the automation and control of the drying process. Therefore, this paper presents a system... C.C. Scharlau, C.R. Krumreich, N. Pagani Neto, H.M. Tamba , B. Culda Download paper

Filter results3 paper(s) found.

1. Precision Nutrient Management Through Drip Irrigation in Aerobic Rice

A field experiment was conducted during kharif 2015 to asses the spatial variability and precision nutrient management through drip irrigation in aerobic rice at ZARS, GKVK, Bangalore. The experimental field has been delineated into 48 grids of 4.5 m x 4.5 m using geospatial technology. Soil samples from 0-15 cm depth were collected and analysed. There was spatial variability for available nitrogen (154 to 277 kg ha-1), phosphorous (45 to 152 kg ha-1) and potassium... N. Dr., S. T, M. Giriyappa, H. D.c, B. Patil, D. Prabhudeva, G. Kombali, S. Noorasma, M. Thimmegowda

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2. Comparative Analysis of Light-weight Deep Learning Architectures for Soybean Yield Estimation Based on Pod Count from Proximal Sensing Data for Mobile and Embedded Vision Applications

Crop yield prediction is an important aspect of farming and food-production. Therefore, estimating yield is important for crop breeders, seed-companies, and farmers to make informed real-time financial decisions. In-field soybean (Glycine max L.(Merr.)) yield estimation can be of great value to plant breeders as they screen thousands of plots to identify better yielding genotypes that ultimately will strengthen national food security. Existing soybean yield estimation tools,... J.J. Mathew, P.J. Flores, J. Stenger, C. Miranda, Z. Zhang, A.K. Das

Download paper

3. Monitoring, Automation, and Control System for Small Scale Silos

Brazil has an important role in the global grain production scenario. However, the country’s grain storage infrastructure is usually inadequate and insufficient. The drying and storage of grains post-harvest are essential to ensure product quality, even over extended periods. In this context, research has been conducted on sensing, monitoring, and prediction of grain temperature and humidity, as well as the automation and control of the drying process. Therefore, this paper presents a system... C.C. Scharlau, C.R. Krumreich, N. Pagani Neto, H.M. Tamba , B. Culda

Download paper