Proceedings

Find matching any: Reset
Kaster Marini, V
Scaramuzza, F.M
Santos, P.V
Siqueira , G.C
Spricigo, S
Simwaka, P
Add filter to result:
Authors
Simwaka, P
Huth, N
Maclaren, C
Omondi, J
Nyagumbo, I
Öborn, I
Masikati, P
Chiduwa, M.S
Lana, M
Balducci Borges, R
Smaal, N
Santos, P.V
Bendinelli, W.G
CELY BONILLA, E
Bazzi, C.L
Sobjak, R
Schenatto, K
Torres Avila, E
Rodrigues, M
Spricigo, S
Melo, M.D
Paiva, C.M
Oliveira, A.L
Maciel, F.N
Siqueira , G.C
Borges , M.R
Furtado, G.S
Leme, P.M
Lo Celso, I
Ciancio, N
Scaramuzza, F.M
Topics
Predictive Modeling, Phenotyping, and Digital Tools for Decision Support
Artificial Intelligence, Big Data, and Advanced Analytics in Agriculture
Remote and Proximal Sensing of Soils and Crops
Drivers and Barriers to Adoption of Precision and Digital Technologies
Precision Crop Protection, Pest, and Plant Health
Type
Poster
Oral
Year
2026
Home » Authors » Results

Authors

Filter results5 paper(s) found.

1. Evaluating APSIM for Precision Optimization of Planting Windows and Nitrogen Management in Maize-Soybean Intercropping Systems in Malawi

Maize-soybean intercropping is a key strategy for improving food security and resource-use efficiency in smallholder systems in sub-Saharan Africa. In Malawi, soybean promotion supports sustainable intensification, yet optimizing planting windows, spatial arrangements, and nitrogen (N) management under variable rainfall remains challenging. This study assesed the capability of  the Agricultural Production Systems Simulator (APSIM) to simulate maize-soybean performance and identify precision...

2. Autonomous Mobile Robot for Monitoring and Control of the Cotton Boll Weevil

The cotton boll weevil (Anthonomus grandis Boheman) is the key pest of Brazilian cotton, accounting for about 12% of production costs and, together with yield losses, reaching roughly R$ 2,470 per hectare per season. Because its immature stages develop protected inside the plant, insecticides reach only the adult, which entrenches calendar-based broadcast spraying and an average of 18 full-field applications per season. Conventional scouting samples as few as 0.1 points per hectare, leaving... R. Balducci Borges, N. Smaal, P.V. Santos, W.G. Bendinelli

3. Leaf Nutrient Estimation in Soybean from Multispectral and Multitemporal Information Using UAV and Machine Learning

Precision agriculture, through remote sensing with Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence, offers solutions for monitoring crop growth and development, supporting decision-making aimed at resource optimization and agricultural sustainability. This study evaluated the feasibility of using multispectral information captured by UAVs at different phenological stages (V6, V8, and R2) to estimate leaf nutrients (N, P, K, Ca, Mg, Cu, Zn, and Mn) in soybean crops as an alternative... E. Cely Bonilla, C.L. Bazzi, R. Sobjak, K. Schenatto, E. Torres Avila, M. Rodrigues, S. Spricigo

4. Digital Agriculture in Dairy Farming: Connectivity Diagnosis and Barriers to Technology Adoption in an Agrotechnological District

The integration of digital tools and communication systems has underpinned a profound transformation in global production chains, aiming to optimize farm operations through technological innovation. Within this context, the present study forms part of the Semear Digital project, coordinated by Embrapa, and is grounded in the premise that digital inclusion constitutes an indispensable strategy for the sustainability and competitiveness of contemporary dairy farming. The primary objective... M.D. Melo, C.M. Paiva, A.L. Oliveira, F.N. Maciel, G.C. Siqueira , M.R. Borges , G.S. Furtado, P.M. Leme

5. From Area-wide Management to Site-specific and Individual Plant Management: the Evolution of Weed Control in Argentina

Selective herbicide spraying represents one of the most significant innovations in the evolution of Precision Agriculture, enabling a shift from uniform broadcast applications toward spatially explicit and plant-by-plant management models. In a context characterized by the increasing prevalence of herbicide-resistant weed biotypes, rising input costs, and growing environmental and regulatory pressure, these technologies are becoming strategic tools to enhance input-use efficiency and improve the... I. Lo Celso, N. Ciancio, F.M. Scaramuzza