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Featured Articles

Classification of cotton water stress using convolutional neural networks and UAV-based RGB imagery

Embracing smart irrigation management techniques empowers growers to irrigate with greater efficiency, thereby promoting sustainable agricultural production. In this context, growers often rely on crop evapotranspiration (ETc) as a key factor in making informed irrigation decisions, underscoring the significance of accurately determining and spatially mapping crop water status. Technological progress, exemplified by the emergence of unmanned aerial vehicles (UAVs), has brought about a revolutionary shift in agricultural monitoring. UAV platforms can capture high-resolution images with centimeter-level spatial accuracy and offer higher temporal coverage compared to satellite imagery. Considering these advancements, this study introduces a robust method for classifying water stress in cotton using a compact UAV platform and convolutional neural networks (CNN). The experiment was conducted at the USDA-ARS Cropping Systems Research Laboratory (CSRL) in Lubbock, Texas, where the cotton field was divided into 12 drip zones. The study included three replications to evaluate four irrigation treatments: “rainfed”, “full irrigation”, “percent deficit of full irrigation”, and “time delay of full irrigation”. The results demonstrated that the CNN model successfully classified the cotton water stress using the UAV-based RGB image, achieving an overall best prediction accuracy of approximately 91%. By segmenting the original cotton images into separate canopy and soil areas using morphological image processing methods, the authors also isolated and analyzed the individual contributions of these components to cotton water stress. Additionally, a random forest classifier revealed the relative importance of different image features in the classification process through feature importance analysis. These findings highlighted the state-of-the-art performance of the proposed system in cotton water stress classification and provided valuable insights into the key image features contributing to accurate classification. The authors concluded that integrating UAV-based RGB imagery and CNN models had great potential for assessing water stress in cotton.

A new approach to measure spatial variability of soil parameters and field technique to test-value specific fertilizer

Information on the distribution of soil properties is important to know the status of nutrients in the soils based on which fertilizer nutrients are recommended. Given the variability of nutrients in the soils, making a site-specific fertilizer recommendation seems to be a compelling work. To determine the spatial variability of soil nutrients and to make judicious and precise fertilizer recommendations, new measures are designed with this study. These measures are tested against the soil samples (n = 43) for total nitrogen (N), organic matter (OM), phosphorus (P2O5), and potassium (K2O) in the study area. The descriptive statistical analysis indicated an average of low nitrogen and organic matter, while phosphorus was found to be very high and the level of potassium was high. The spread of nutrients across the data sets, however, included low, medium, high, and very high levels of ratings. The Deviation Square Index was developed and applied for the variability measurement and found that the largest variation was with phosphorus distribution, followed by potassium, nitrogen, and organic matter. The coefficient of variation (CV%) analysis also exhibited similar trends in nutrient distributions. Nitrogen was the main determinant explaining the variations in rice yield, while phosphorus and potash were negatively related to the yield. An index of fertilizer nutrient recommendation called Test-Value Specific Dose (TVSD) was developed and used to calculate the nutrient recommendation for each sampled location. This new method gave easy and more accurate doses of fertilizer over the blanket recommendation to fit the variations across the soil samples.

Analysis of the energy management in the company irrigation elements for agriculture

María Rosa Perellada Gamio, Mercedes de la Caridad Albelo Martínez

Article ID: 2033
Vol 3, Issue 1, 2022

DOI: https://doi.org/10.54517/ama.v3i1.2033
VIEWS - 53 (Abstract)

Abstract

This paper analyzes the necessary linkage that must exist between the behavior of energy management in the industries destined to produce elements for agricultural productions, in this case, part of the components of irrigation systems for agriculture, important systems to ensure favorable results in the characteristic crops of each season of the year, whether or not they are short cycle. The behavior of the energetic expense is fundamentally analyzed, mainly of the electric system and the support energetic systems that determine the conformation of the productions destined for the irrigation systems. Proposals are made that can contribute to diminishing the production costs in the productive entity and that can contribute to a decrease in the cost of obtaining the agricultural product.

Keywords

system; energy; agricultural production; cost

Full Text:

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References

1. Avella CJC, Caicedo POF, Oqueña QEC, et al. The MGIE, an energy management model for the national productive sector (Spanish). El Hombre y la Máquina 2008; 30: 18–31.

2. Soto CJ, Borroto NAE, González AR, et al. Design and implementation of a procedure for energy planning according to NC-ISO 50001: 2011 (Spanish). Ingeniería Energética 2014; 35(1): 38–47.

3. Ministry of Energy and Mines. NC-800- 2017: Cuban Electrotechnical Committee-Cuban Electrotechnical Regulation (Spanish). Ministry of Energy and Mines; 2017.

4. Borroto Nordelo AE (editor). Business Energy Management (Spanish). Universidad de Cienfuegos; 2002.

5. Funes MR. Agriculture with a Future: The Agroecological Alternative for Cuba (Spanish). Estación Experimental Indio Hatuey; 2009.

6. Palencia OG. Modern Industrial Maintenance Management. Fundamental Principles (Spanish). Ediciones de la U; 2011.

7. Ministry of GOC. CUBA-MGOC: Resolution No. 116/2017Ministry of GOC-2017-574-EX42. Ministry of GOC; 2017.

8. ISO, CIE. Lighting of indoor workplaces (ISO 8995:2002/CIE S 008-2001, IDT) (Spanish). Available online: https://ftp.isdi.co.cu/Biblioteca/BIBLIOTECA%20UNIVERSITARIA%20DEL%20ISDI/COLECCION%20DIGITAL%20DE%20NORMAS%20CUBANAS/2003/NC%20ISO%208995%20%20a2003%2032p%20tqw.pdf (accessed on 6 July 2020).

9. Funes-Monzote FR, Mart GJ, Suárez J, et al. Initial evaluation of integrated systems for food and energy production in Cuba. Pastos y Forrajes 2011; 34(4): 445–462.

10. Alpi FG. Improvement of the Electrical Network in the Empresa Pesquera Industrial de La Coloma. Empresa Pesquera Industrial de La Coloma; 2013.

11. Arguelles SR. Incidence of Irrigation Scheduling for Saving Water, Electric Energy and Potato Crop Yields in the UBPC-3,” Jesús Menéndez”. UBPC-3; 2014.

12. Smith FA, Martínez PF. More Elements about Inspection and Diagnosis in Maintenance Management (Spanish). Universidad Tecnológica de La Habana José Antonio Echeverría; 2018.

13. Ministry of Finance Prices. CUBA- M F P: Resolution 277 Electricity Tariffs, no. P1-1-107. P1-1-107. Ministry of Finance Prices; 2014.

14. González SE, Miño VJ, Concepción TDN. The role of international collaboration and university-business linkage in the completion of scientific results. University and Society 2017; 9(3).

15. Castilla CN, Blanca GV, Martínez AA, Pastor VRM. Software Dialux 4.11. Departamento Construcciones -Arquitectónicas, Center: E.T.S.; 2011.

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Editor-in-Chief

Dr. Joan Estrany

University of the Balearic Islands Spain

News & Announcements

2023-08-22

New version of Author Guidelines are update

Please follow the journal's author guideline and the required article template to prepare your manuscript

2022-09-10

The 2022 World Food Forum will be held in Italy

The 2022 World Food Forum (WFF) flagship event will take place from 17 to 21 October at the Headquarters of the Food and Agriculture Organization of the United Nations (FAO) in Rome, Italy and virtually.

2022-06-07

Italian researchers are protesting a law that may equate “biodynamic” methods with organic agriculture

One line in the draft law concerns scientists above all. Article I states that “for the purposes of this law, the biodynamic agriculture method […], when applied in compliance with the European Union’s dispositions on organic farming, is equated with organic farming”. A few articles later, the law requires one representative of biodynamic farmers to sit in a technical committee that will oversee the application of the law, including allocations of public funds.

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Section Collections

Proposal a Section Collection

Deadline: 2024-12-31

Food Science

Keywords: food science; functional foods; food ingredients; nutrient fortification; crop biomass; sustainable food; processing technologies; cross-disciplinary approach

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Proposal a Special Issue

Deadline: 2023-08-24

Sustainability of modern agriculture

Keywords: sustainable agriculture, objectives of sustainable farming, involving devices, involving technology, pros and cons, etc.

Deadline: 2023-08-24

Technology in modern agriculture

Keywords: the agricultural device, the technology used in farming different plants, the impact of technology on agriculture, the evolution of agricultural technology, robotic systems, etc.