Proceedings :: International Society of Precision Agriculture

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Bakshi, A

Biaou, A

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Authors

Bari, M.A

Bakshi, A

Witt, T

Caragea, D

Jagadish, K

Felderhoff, T

Pramanik, S

Choton, J

Biaou, A

Phillips, S

Topics

Big Data, Data Mining and Deep Learning

Small Holders and Precision Agriculture

Type

Oral

Poster

Year

2024

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Filter results2 paper(s) found.
1. Deep Learning to Estimate Sorghum Yield with Uncrewed Aerial System Imagery In the face of growing demand for food, feed, and fuel, plant breeders are challenged to accelerate yield potential through quick and efficient cultivar development. Plant breeders often conduct large-scale trials in multiple locations and years to address these goals. Sorghum breeding, integral to these efforts, requires early, accurate, and scalable harvestable yield predictions, traditionally possible only after harvest, which is time-consuming and laborious. This research harnesses high-throughput... M.A. Bari, A. Bakshi, T. Witt, D. Caragea, K. Jagadish, T. Felderhoff
2. Potential for Improving African Smallholder Cereal Farming Using Sentinel-2A Spectral Reflectance Cereal crops are critical for African smallholder farmers seeking to improve regional food availability, yet many struggle with low productivity from non optimal practices. This present study evaluated the possibility of using the satellite Sentinel-2 Multispectral Instrument data to inform management techniques tailored to African small-scale cereal farms’ local conditions. Improved practices maize, wheat, and rice plots were established respectively in Togo, Tunisia, and Tanzania... A. Biaou, S. Phillips Download paper

Filter results2 paper(s) found.

1. Deep Learning to Estimate Sorghum Yield with Uncrewed Aerial System Imagery

In the face of growing demand for food, feed, and fuel, plant breeders are challenged to accelerate yield potential through quick and efficient cultivar development. Plant breeders often conduct large-scale trials in multiple locations and years to address these goals. Sorghum breeding, integral to these efforts, requires early, accurate, and scalable harvestable yield predictions, traditionally possible only after harvest, which is time-consuming and laborious. This research harnesses high-throughput... M.A. Bari, A. Bakshi, T. Witt, D. Caragea, K. Jagadish, T. Felderhoff

2. Potential for Improving African Smallholder Cereal Farming Using Sentinel-2A Spectral Reflectance

Cereal crops are critical for African smallholder farmers seeking to improve regional food availability, yet many struggle with low productivity from non optimal practices. This present study evaluated the possibility of using the satellite Sentinel-2 Multispectral Instrument data to inform management techniques tailored to African small-scale cereal farms’ local conditions. Improved practices maize, wheat, and rice plots were established respectively in Togo, Tunisia, and Tanzania... A. Biaou, S. Phillips

Download paper