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Isono, S
Ochoa, O
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Authors
Hongo, C
Isono, S
Sigit, G
Utoyo, B
Tamura, E
Erazo, E
Mosquera, C
Ochoa, O
Topics
Applications of Unmanned Aerial Systems
Artificial Intelligence (AI) in Agriculture
Type
Poster
Oral
Year
2022
2024
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1. Application of Drone Data to Assess Damage Intensity of Bacterial Leaf Blight Disease on Rice Crop in Indonesia

The Government of Indonesia has launched agricultural insurance program since 2016. A key in agricultural insurance is damage assessment which is required to be as precise, quick, quantitative and inexpensive as possible. Current method is to inspect the damage by human eyes of specialist having experiences. This method, however, costs much and is difficult to estimate disease infected fields precisely in wide area. So, there is increasing need to develop effective, simplified and low cost method... C. Hongo, S. Isono, G. Sigit, B. Utoyo, E. Tamura

2. RMAPs: an Integrated Tool to Delimitate Homogeneous Management Zones

Management zones are one of the most studied methods in precision agriculture to optimize crop yield from the soil, plant, management, and climate input parameters. We present Rmaps, an R package that integrates soil and crop yield spatial variability using geostatistical methods and one-hidden-layer perceptron (OHLP) to identify how input parameters influence crop yield and delimitate homogenous zones. From georeferenced data of soil, plant, management, climate, and crop yield parameters, Rmaps... E. Erazo, C. Mosquera, O. Ochoa