Proceedings :: International Society of Precision Agriculture

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Patil, V.C

Miranda, C

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Authors

Patil, V.C

Al-Gaadi, K.A

Mathew, J.J

Flores, P.J

Stenger, J

Miranda, C

Zhang, Z

Das, A.K

Topics

Precision Nutrient Management

Precision Agriculture and Global Food Security

Type

Poster

Oral

Year

2012

2022

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Filter results2 paper(s) found.
1. Precision Fertigation in Wheat for Sustainable Agriculture in Saudi Arabia Wheat is an important cereal crop of Saudi Arabia grown on an area of 250,000 ha with an annual production of 1,260,000 metric tons. The crop is cultivated on sandy soils using sprinkler irrigation under center pivots. The crop is sown in November... V.C. Patil, K.A. Al-gaadi 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

Filter results2 paper(s) found.

1. Precision Fertigation in Wheat for Sustainable Agriculture in Saudi Arabia

Wheat is an important cereal crop of Saudi Arabia grown on an area of 250,000 ha with an annual production of 1,260,000 metric tons. The crop is cultivated on sandy soils using sprinkler irrigation under center pivots. The crop is sown in November... V.C. Patil, K.A. Al-gaadi

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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