Proceedings :: International Society of Precision Agriculture

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Romani, L.A

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Authors

Speranza, E.A

Inamasu, R.Y

Romani, L.A

Naime, J

Sobjak, R

Vacari, I

Bazzi, C.L

Shibusawa, S

da Silva, J

Evangelista, S.R

Barbedo, J.G

Romani, L.A

Topics

Decision Support Systems, Cloud Platforms, and Open Data Solutions

Type

Oral

Year

2026

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Filter results2 paper(s) found.
1. Data Governance Platform for Precision Agriculture: Enhancing Traceability and Sustainability Precision Agriculture (PA) is one of the enablers of data-driven agriculture. Digital Agriculture (DA) tools are increasingly vital in driving the adoption of PA techniques across small, medium, and large-scale farming operations. These technologies, including the Internet of Things (IoT), sensors, drones, satellite imagery, Artificial Intelligence (AI), and Big Data, work synergistically to capture detailed information on soil conditions, plant health, climate, and machinery performance. This... E.A. Speranza, R.Y. Inamasu, L.A. Romani, J. Naime, R. Sobjak, I. Vacari, C.L. Bazzi, S. Shibusawa Download paper
2. Challenges in Integrating Digital Agriculture Solutions Advances in digital agriculture have increased the supply of solutions to improve the management of agricultural activity. However, the increasing number of solutions in quantity and variety also imposes barriers to their adoption by small and medium-sized family farmers reasoned by higher exposition to technical and financial limitations. High cost, low digital literacy, and little perception of the usefulness are some of the obstacles. These can be further exacerbated if producers need to... J. Da Silva, S.R. Evangelista, J.G. Barbedo, L.A. Romani Download paper

Filter results2 paper(s) found.

1. Data Governance Platform for Precision Agriculture: Enhancing Traceability and Sustainability

Precision Agriculture (PA) is one of the enablers of data-driven agriculture. Digital Agriculture (DA) tools are increasingly vital in driving the adoption of PA techniques across small, medium, and large-scale farming operations. These technologies, including the Internet of Things (IoT), sensors, drones, satellite imagery, Artificial Intelligence (AI), and Big Data, work synergistically to capture detailed information on soil conditions, plant health, climate, and machinery performance. This... E.A. Speranza, R.Y. Inamasu, L.A. Romani, J. Naime, R. Sobjak, I. Vacari, C.L. Bazzi, S. Shibusawa

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2. Challenges in Integrating Digital Agriculture Solutions

Advances in digital agriculture have increased the supply of solutions to improve the management of agricultural activity. However, the increasing number of solutions in quantity and variety also imposes barriers to their adoption by small and medium-sized family farmers reasoned by higher exposition to technical and financial limitations. High cost, low digital literacy, and little perception of the usefulness are some of the obstacles. These can be further exacerbated if producers need to... J. Da Silva, S.R. Evangelista, J.G. Barbedo, L.A. Romani

Download paper