Proceedings :: International Society of Precision Agriculture

Proceedings

Find matching any: Reset

Velasco, J.S

Ayral, J

EMİNOĞLU, B.M

» Add more authors

Add filter to result:

Authors

Ayral, J

Yegul, U

TALEBPOUR, B

TÜRKER, U

EMİNOĞLU, B.M

SEYHAN, G.T

ÇOLAK, A

Parbi, B

Ortiz, B.V

Abban-Baidoo , E

Sanz-Saez, A

Velasco, J.S

Ortiz, B.V

Nunes, L

Prasad, R

Hoogenboom, G

Topics

Precision A to Z for Practitioners

Remote Sensing Applications in Precision Agriculture

Drainage Optimization and Variable Rate Irrigation

Weather and Models for Precision Agriculture

Type

Poster

Year

2012

2016

2024

Home » Authors » Results

Authors

Filter results4 paper(s) found.
1. Real-Time Fluorescence Sensors for Precision Agriculture Resulting... J. Ayral
2. Development of Sensor Reflection Indices To Predict Yield And Protein Content Based On In-Season N Status Environmental and economic demands make it necessary for farmers to adopt management systems that improve Nitrogen Use Efficiency. The premium paid to producers has made farmers striving for maximum grain protein levels because protein is a very important quality component of grains and an important attribute in the market place. The protein content of wheat grains approximately ranges from 8 to 20%. The optimization of nitrogen (N) fertilization is the object of intense research efforts... U. Yegul, B. Talebpour, U. TÜrker, B.M. EmİnoĞlu, G.T. Seyhan, A. Çolak Download paper
3. Evaluation of Peanut Response to Soil Water Levels Using the Crop Water Stress Index Generated from Infrared Thermal Sensors and Imagery In precision agriculture, precise monitoring of crop water stress is crucial for optimizing water use, increasing crop yield, and promoting environmental sustainability. Achieving high water use efficiency in peanut production is key to producing high-quality crop. This study investigates the efficiency of infrared thermal sensors and thermal imagery from satellites and unmanned aerial vehicles (UAVs) for determining peanut crop water stress index (CWSI). Furthermore, this research explores the... B. Parbi, B.V. Ortiz, E. Abban-baidoo , A. Sanz-saez, J.S. Velasco
4. Using Simulation Modeling to Evaluate the Corn Response to Deficit Irrigation Imposed During Reproductive Period In Alabama, as in many regions of the southeastern states, flash droughts and rising temperatures present significant challenges to the sustainability of agricultural systems. Specifically maize, a crop with a high water demand, faces production risks due to these adverse conditions. The study explores the optimum irrigation scheduling strategies on maize (Zea mays L.) in the reproductive growth stages through the evaluation of the impact of three irrigation treatments, defined by Maximum Allowed... J.S. Velasco, B.V. Ortiz, L. Nunes, R. Prasad, G. Hoogenboom

Filter results4 paper(s) found.

1. Real-Time Fluorescence Sensors for Precision Agriculture

Resulting... J. Ayral

2. Development of Sensor Reflection Indices To Predict Yield And Protein Content Based On In-Season N Status

Environmental and economic demands make it necessary for farmers to adopt management systems that improve Nitrogen Use Efficiency. The premium paid to producers has made farmers striving for maximum grain protein levels because protein is a very important quality component of grains and an important attribute in the market place. The protein content of wheat grains approximately ranges from 8 to 20%. The optimization of nitrogen (N) fertilization is the object of intense research efforts... U. Yegul, B. Talebpour, U. TÜrker, B.M. EmİnoĞlu, G.T. Seyhan, A. Çolak

Download paper

3. Evaluation of Peanut Response to Soil Water Levels Using the Crop Water Stress Index Generated from Infrared Thermal Sensors and Imagery

In precision agriculture, precise monitoring of crop water stress is crucial for optimizing water use, increasing crop yield, and promoting environmental sustainability. Achieving high water use efficiency in peanut production is key to producing high-quality crop. This study investigates the efficiency of infrared thermal sensors and thermal imagery from satellites and unmanned aerial vehicles (UAVs) for determining peanut crop water stress index (CWSI). Furthermore, this research explores the... B. Parbi, B.V. Ortiz, E. Abban-baidoo , A. Sanz-saez, J.S. Velasco

4. Using Simulation Modeling to Evaluate the Corn Response to Deficit Irrigation Imposed During Reproductive Period

In Alabama, as in many regions of the southeastern states, flash droughts and rising temperatures present significant challenges to the sustainability of agricultural systems. Specifically maize, a crop with a high water demand, faces production risks due to these adverse conditions. The study explores the optimum irrigation scheduling strategies on maize (Zea mays L.) in the reproductive growth stages through the evaluation of the impact of three irrigation treatments, defined by Maximum Allowed... J.S. Velasco, B.V. Ortiz, L. Nunes, R. Prasad, G. Hoogenboom