G. D. Martins

Mapping Nutrients Content in a Nematode-Infected Coffee Plantation by Empirical Models Derived from RapidEye Image

C. X. D. Almeida, G. D. Martins, M. Galo, 2019, Anuário do Instituto de Geociências - UFRJ.

Early Detection of Coffee Leaf Rust Caused by Hemileia vastatrix Using Multispectral Images

A. Siquieroli, G. D. Martins, B. S. Vieira, 2022, Agronomy.

Multispectral images for monitoring the physiological parameters of coffee plants under different treatments against nematodes

G. D. Martins, B. S. Vieira, Fernando Vasconcelos Pereira, 2022, Precision Agriculture.

Estimating Coffee Plant Yield Based on Multispectral Images and Machine Learning Models

G. D. Martins, B. S. Vieira, E. F. Fraga Júnior, 2022, Agronomy.

Spatial variability in fertigated coffee yields and plant nutrients in soil saturation extracts

C. X. D. Almeida, G. D. Martins, R. Jorge, 2019, International Journal for Innovation Education and Research.

Using Geospatial Information to Map Yield Gain from the Use of Azospirillum brasilense in Furrows

G. D. Martins, B. S. Vieira, D. J. Marques, 2023, Agronomy.

Detection of Lesions in Lettuce Caused by Pectobacterium carotovorum Subsp. carotovorum by Supervised Classification Using Multispectral Images

N. D. Tebaldi, G. D. Martins, R. Zampiróli, 2021, Canadian Journal of Remote Sensing.

Multispectral images for estimating morphophysiological and nutritional parameters in cabbage seedlings

G. D. Martins, R. Castoldi, Hamilton César de Oliveira Charlo, 2023, Smart Agricultural Technology.

Detecting and Mapping Root-Knot Nematode Infection in Coffee Crop Using Remote Sensing Measurements

Maria de Lourdes Bueno Trindade Galo, George Deroco Martins, Bruno Sergio Vieira, 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Estimation of biometric, physiological, and nutritional variables in lettuce seedlings using multispectral images

Renata Castoldi, George D. Martins, Onésio F. da Silva Neto, 2021, Revista Brasileira de Engenharia Agrícola e Ambiental.

Estimation of Strawberry Crop Productivity by Machine Learning Algorithms Using Data from Multispectral Images

G. D. Martins, R. Castoldi, Larissa Silva de Oliveira, 2023, Agronomy.

Hyperspectral characterization and estimation models for agronomic parameters of coffee cultivars after pruning

A. Siquieroli, G. D. Martins, Gleice Aparecida de Assis, 2023, Precision Agriculture.

A Multicriteria Model for Estimating Coffea arabica L. Productive Potential Based on the Observation of Landscape Elements

S. Camboim, J. V. M. Bravo, G. D. Martins, 2023, Agriculture.