Juan Enciso

Professor

Texas A&M AgriLife Research

United States

Research Interests

Explore related searches

Professors in United States Professors in Agriculture Agriculture professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Juan Enciso is a Professor at Texas A&M AgriLife Research in the United States. His research primarily focuses on the use of unmanned aerial systems (UAS) for remote sensing applications in agriculture, including the assessment of crop health, drought stress, and yield forecasting. Recent articles authored by Professor Enciso highlight his work on machine learning for detecting cotton and plastic contaminants, as well as evaluating the agronomic performance of various crops under different environmental conditions.

Articles (13)

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2022

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Year:

2020

Year:

2020

Year:

Virginia Tech

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Juan Enciso

Research Interests

Explore related searches

Contact this professor

About

Articles (13)

AI-Driven Computer Vision Detection of Cotton in Corn Fields Using UAS Remote Sensing Data and Spot-Spray Application

Assessing Drought Stress of Sugarcane Cultivars Using Unmanned Vehicle System (UAS)-Based Vegetation Indices and Physiological Parameters

Assessing Huanglongbing Severity and Canopy Parameters of the Huanglongbing-Affected Citrus in Texas Using Unmanned Aerial System-Based Remote Sensing and Machine Learning

Plastic Contaminant Detection in Aerial Imagery of Cotton Fields Using Deep Learning

Radiation Use Efficiency and Agronomic Performance of Biomass Sorghum under Different Sowing Dates

Yield response of canola as a biofuel feedstock and soil quality changes under treated urban wastewater irrigation and soil amendment application

Digital Terrain Models Generated with Low-Cost UAV Photogrammetry: Methodology and Accuracy

Agronomic performance of the lignocellulosic feedstock crop energy cane in the Texas Rolling Plains

Forecasting Yield and Lignocellulosic Composition of Energy Cane Using Unmanned Aerial Systems

Spatio-Temporal Trends of Monthly and Annual Precipitation in Aguascalientes, Mexico

Spatio-temporal trends of monthly and annual precipitation in Aguascalientes, Mexico

Effects of treated urban wastewater irrigation on bioenergy sorghum and soil quality

Observed trends in daily extreme precipitation indices in Aguascalientes, Mexico

Collaborators (9)

Jorge da Silva

Roberto Rodriguez III

Jinha Jung

Veronica Ancona

John Jifon

Russell Jessup

Alex Thomasson

Pappu Yadav

Vijaya Satya N Chaganti

Make your next move.