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Profitability, Sustainability and Adoption
Precision Horticulture
Factors Driving Adoption
Sensor Application in Managing In-season Crop Variability
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Authors
Amaral, L.R
Amaral, L.R
Anaba, C.I
Avanzi, J.C
Balkcom, K
Baresel, P
Bareth, G
Bastos, A.H
Belasque Junior, J
Ben Abdallah, F
Blanche, D
Borghi, E
Bortolon, E.S
Bortolon, L
Burns, D
Canavari, M
Claire, G
Emmi, L
English, B.C
Erdle, K
Erickson, B.J
Franzen, D.W
Frazier, R
Freitas, A.A
Fulton, J.P
Garcia, A.H
Garcia-Torres, L
Gholizadeh, A
Gnyp, M.L
Goffart, J
Gómez-Candón, D
Gupta, S
Hackl, H
Huang, S
Inamasu, R.Y
Jasper, J
Jiang, R
Jurado-Expósito, M
Khosla, R
Kipp, S
Klein, R.N
Kruse, D
Lambert, D.M
Larson, J.A
Lattanzi, P
Laurent, P
Lins, E.C
Lowenberg-DeBoer, J
López-Granados, F
Luchiari Junior, A
Magalhaes, P.S
Makkar, M.S
Manon, M
Marcassa, L.G
Marine, L
Miao, Y
Mishra, A.K
Mistele, B
Mistele, B
Mistele, B
Mohd Soom, M
Molin, J.P
Molin, J.P
Mostafa, F
Naima, B
Olivier, G
Ortiz, B.V
Overstreet, D
Pandit, M
Paudel, K.P
Peña-Barragán, J.M
Portz, G
Portz, G
Preiner, M
Roberts, R.K
Rodrigues Júnior, F.H
Sébastien, D
Saberioon, M
Schmidhalter, U
Schmidhalter, U
Schmidhalter, U
Segarra, E
Sharma, A
Sharma, L
Shi, Y
Silva, M.J
Tahir, M
Thompson, N.M
Torino, M.S
Velandia, M
Vitali, G
Wagner, P
Wang, C
Wang, N
Wilson, R
Yao, Y
Yuncai, H
Zoran, C
Topics
Sensor Application in Managing In-season Crop Variability
Factors Driving Adoption
Profitability, Sustainability and Adoption
Precision Horticulture
Type
Poster
Oral
Year
2012
2022
2008
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Topics

Filter results27 paper(s) found.

1. Use of Corn Height to Improve the Relationship Between Active Optical Sensor Readings and Yield Estimates

Pre-season and early in-season loss of N continues to be a problem in corn. One method to improve nitrogen use efficiency is to fertilize based on in-season crop foliage sensors. The objective of this study was to evaluate two different ground-based, active-optical sensors and explore the use of corn height with sensor readings for improved relationship with corn yield. Two different ground-based active-optical sensors (GreenseekerTM ... L. Sharma, D.W. Franzen

2. Using Crop Budgeting Spreadsheets Can Assist Producers In Evaluating The Cost Effectiveness Of Adoption Of The Various Precision Agriculture Technologies

Producers asked the question which Precision Agriculture Technologies can be economical in my farming operation?  The use of easily modified crop budgets can help the producer evaluate the technologies and how they affect the profitability of one’s agricultural enterp... R.N. Klein, R. Wilson

3. Development of Ground Based Multi-source Crop Information Collection System.

Precision agriculture requires reliable technology to acquire accurate information on crop conditions. A ground-based integrated sensor and instrumentation system was developed to measure real-time crop conditions. The integration system included multispectral camera and N-sensor for real time Nitrogen application. The system was interfaced with a DGPS receiver to provide spatial coordinates for sensor readings. Before mounting of the sensors on modified paddy transplanter, different mounting... A. Sharma, M.S. Makkar, S. Gupta

4. Active Sensor Performance – Dependence to Measuring Height, Light Intensity and Device Temperature

For land use management, agriculture, and crop management spectral remote sensing is widely used. Ground-based sensing is particularly advantageous allowing to directly link on-site spectral information with agronomic algorithms. Sensors are nowadays most frequently used in site-specific oriented applications of fertilizers, but similarly site-specific applications of growth regulators, herbicides and pesticides become more often adopted. Generally little is known about the effects ... B. Mistele, U. Schmidhalter, S. Kipp

5. On-Farm Trials Using Precision Ag in Northeast Louisiana

The availability of yield monitors and precision application equipment on producers’ farms have made it much easier for researchers to take the results from experiment station trials and apply them to producers’ fields.  Treatments/methods are applied in strips, by prescription, embedded plots or in combination.  Fields are divided into zones for analyzing the harvest yield data.  These can include soil type, soil Ec, or other criteria.  Treatments are analyzed... D. Burns, D. Overstreet, D. Kruse, R. Frazier, D. Blanche

6. Estimation of Nitrogen of Rice in Different Growth Stages Using Tetracam Agriculture Digital Camera

Many methods are available to monitor nitrogen content of rice during various growth stages. However, this monitoring still requires a quick, simple, accurate and inexpensive technique that needs to be developed. In this study, Tetracam Agriculture Digital Camera (ADC) was used to acquire high spatial and temporal resolution in order to determine the status of nitrogen (N) and predict the grain yield of rice (Oriza sativa L.). In this study, 12 pots of rice with four different N treatments (0, ... A. Gholizadeh , M. Mohd soom , M. Saberioon

7. The Use of Artificial Neuronal Networks to Generate Decision Rules for Site-Specific Nitrogen Fertilization

The basis for successful and sustainable agriculture is the utilization of adequate decision rules. When it comes to precision farming, these rules have to be applied to each sub-field, where they determine the actions to be taken. There are many possibilities for achieving site-specific information for a field (e.g. measuring the electrical conductivity of soil or yield mapping). But which rules should be used to link this information with profit maximization treatment recommendati... P. Wagner

8. Comparison of Active and Passive Spectral Sensors in Discriminating Biomass Parameters and Nitrogen Status in Wheat Cultivars

Several sensor systems are available for ground-based remote sensing in crops. Vegetation indices of multiple active and passive sensors have seldom been compared in determining plant health. This study was aimed to compare active and passive sensing systems in terms of their ability to recognize agronomic parameters. One bi-directional passive radiometer (BDR) and three active sensors (Crop Circle, GreenSeeker, and an active flash sensor (AFS)) were tested for their ability to assess six des... B. Mistele, U. Schmidhalter, K. Erdle

9. A Comparison of Plant Temperatures as Measured By Thermal Imaging and Infrared Thermometry

... P. Baresel, B. Mistele, H. Yuncai, U. Schmidhalter, H. Hackl

10. Assembly of an Ultrasound Sensors System for Mapping of Sugar Cane Height

In Precision Agriculture, the use of sensors provides faster data collection on plant, soil, and climate, allowing collecting larger sample sets with better information quality. The objective of this study was the development of a system for plant height measurement in order to mapping of sugar cane crop, so that regions with plant growth variation and grow failures could be id... A.H. Garcia, F.H. Rodrigues júnior, A.H. Bastos, P.S. Magalhaes, M.J. Silva

11. The Adoption of Information Technologies and Subsequent Changes in Input Use in Cotton Production

The use of precision farming has become increasingly important in cotton production. It allows farmers to take advantage of knowledge about infield variability by applying expensive inputs at levels appropriate to crop needs. Essential to the success of the p... N.M. Thompson, J.A. Larson, B.C. English, D.M. Lambert, R.K. Roberts, M. Velandia, C. Wang

12. In-Field Corn Stalk Location Using Rapid Line-Scan Technique

... Y. Shi, N. Wang

13. Model for Remote Estimation of Nitrogen Contents of Corn Leaf Using Hyper-Spectral Reflectance under Semi-Arid Condition.

Accuracy and precision of nitrogen estimation can be improved by hyperspectral remote sensing that lead... M. Tahir

14. Using Multiplex® to Manage Nitrogen Variability in Champagne Vineyard

... L. Marine, M. Manon, G. Claire, P. Laurent, F. Mostafa, C. Zoran, B. Naima, D. Sébastien, G. Olivier

15. Potential Indicators Based On Leaf Flavonoids Content for the Evaluation of Potato Crop Nitrogen Status

Nitrogen (N) fertilization strategies aim to limit environmental pollution by improving potato crop N use efficiency. Such strategies may use indicators for the assessment of in season crop N status (CNS). Leaf polyphenolics (flavonoids) content appears as a valuable indicator of CNS. Because of their absorption features ... J. Goffart, F. Ben abdallah

16. Adoption and Non-Adoption of Precision Farming Technologies by Cotton Farmers

  We used the 2009 Southern Cotton Precision Farming Survey data collected from farmers in twelve U.S. states (Alabama, Arkansas, Florida, Georgia, Louisiana, Missouri, Mississippi, North Carolina, South Carolina, Tennessee, Texas, and Virginia) to identify reasons on why some adopt and others do not adopt precision farming techniques. Those farmers who provided the cost as the reason for non-adoption are farmers characterized by lower educatio... A.K. Mishra, M. Pandit, K.P. Paudel, E. Segarra

17. Adoption and Tendencies of Precision Agriculture Technologies in the Tocantins State, Brazil

Although precision agriculture is widely used throughout Brazilian crop production, it has not been used to increase the efficiency use of agricultural inputs. Besides, technologies available have not bee... L. Bortolon, E. Borghi, A. Luchiari junior, E.S. Bortolon, A.A. Freitas, R.Y. Inamasu, J.C. Avanzi

18. Measuring Sugarcane Height in Complement to Biomass Sensor for Nitrogen Management

Although extensive studied, nitrogen management remains a challenger for sugarcane growers, especially the nutrient spatial variability management, which demands the use of variable rate application. Canopy reflectance sensors are being studied, but it seems to saturate the sensor s... J.P. Molin, G. Portz, L.R. amaral

19. Optimum Sugarcane Growth Stage for Canopy Reflectance Sensor to Predict Biomass and Nitrogen Uptake

The recent technology of plant canopy reflectance sensors can provide the status of biomass and nitrogen nutrition of sugarcane spatially and in real time, but it is necessary to know the right moment to use this technology aiming the best predictions of the crop p... L.R. Amaral, J.P. Molin, J. Jasper, G. Portz

20. Evaluation of Differences in Corn Biomass and Nitrogen Uptake at Various Growth Stages Using Spectral Vegetation Indices

Application of canopy sensors for nitrogen (N) fertilizer management for corn grain production in the Southeast US r... M.S. Torino, B.V. Ortiz, J. Fulton, K. Balkcom

21. In-season Diagnosis of Rice Nitrogen Status Using an Active Canopy Sensor

... Y. Yao, Y. Miao, S. Huang, M. Gnyp, R. Khosla, R. Jiang, G. Bareth

22. A New Sensing System for Immediate and Direct Measurements of Soil Nitrate

In-season management of nitrogen is a critical component in the drive to increase the nitrogen use efficiency of commercial crop production. Increasing nitrogen use efficiency itself has become a prominent issue due to both economic and environmental/regulatory drivers over the last decade.   Solum, Inc (Mountain View, CA) has developed a new sensing technology to enable the immediate and direct measurement of soil nitrate. This allows rapid and economical so... M. Preiner

23. A Software for Managing Remotely Sensed Imagery of Orchards Plantations for Precision Agriculture

Agronomic and environmental characteristics of fruit orchards/ forests can be automatically assessed from remote-sensing images by a computer programme named Clustering Assessment (CLUAS®). The aim of this paper is to describe the operational procedure of CLUAS and illustrate examples of the information provided for citrus orchards and Mediterranean forest. CLUAS® works as an additional menu (“add-on”) of ENVI®, a world-wide known image-processing programme, and operat... L. Garcia-torres, J.M. Peña-barragán, D. Gómez-candón, F. López-granados, M. Jurado-expósito

24. Detection of Citrus Canker in Orange Plantation Using Fluorescence Spectroscopy

Citrus canker is a serious disease, caused by Xanthomonas axonopodis pv. Citri bacteria, which infects orange trees (Citrus aurantium L.), leading to a large economic loss in the orange juice production. Brazil produces 50% of the industrialized orange juice in the world. Therefore, the early detection and control of such disease is important for Brazilian economy. However this task is very hard and so far it has been done by naked eye inspection of each tree. Our goal is to... E.C. Lins, J. Belasque junior, L.G. Marcassa

25. Survey Shows Specialty and Commodity Crop Retailers Use Precision Agriculture Differently

The 2021 CropLife-Purdue Survey of precision agricultural practices by US agricultural input dealers serving the American grain and oilseed sector shows that most of them use GPS guidance and related technologies like sprayer boom control, most provide variable rate fertilizer services, and the majority say that fertilizer decisions are influenced by grower data. In contrast, dealers serving horticultural and specialty crop farms indicate comparatively modest adoption of many precision agricu... B.J. Erickson, J. Lowenberg-deboer

26. Farmers’ and Experts’ Perceptions of Precision Farming Impacts on Economic Efficiency, Food Security, Climate and Environmental Sustainability

“Global food security could be in jeopardy, due to mounting pressures on natural resources and to climate change, both of which threaten the sustainability of food systems at large. Excessive fertilizer use can contribute to problems of eutrophication, acidification, climate change and the toxic contamination of soil, water and air. Lack of fertilizer application may cause the degradation of soil fertility. Agricultural production systems need to focus more on the effective co... C.I. Anaba

27. Robot Safety Issues in Field Crops - EU Regulatory Issues and Technical Aspects

The use of robots in Precision Agriculture is becoming of great interest, but they introduce a new kind of risk in the field due to their self-acting and self-driving capability. Safety issues appear with respect to people working in the same field in human-robot collaboration (HRC) framework or to the accidental presence of humans or animals. A robot out of control may also invade other areas causing unpredictable harm and damage. Currently, the safety of highly automated agricultu... M. Canavari, P. Lattanzi, G. Vitali, L. Emmi