Computational modeling for irrigated agriculture planning. Part I: general description and linear programming

Linear programming models are effective tools to support initial or periodic planning of agricultural enterprises, requiring, however, technical coefficients that can be determined using computer simulation models. This paper, presented in two parts, deals with the development, application and tests of a methodology and of a computational modeling tool to support planning of irrigated agriculture activities. Part I aimed at the development and application, including sensitivity analysis, of a multiyear linear programming model to optimize the financial return and water use, at farm level for Jaíba irrigation scheme, Minas Gerais State, Brazil, using data on crop irrigation requirement and yield, obtained from previous simulation with MCID model. The linear programming model outputted a crop pattern to which a maximum total net present value of R$ 372,723.00 for the four years period, was obtained. Constraints on monthly water availability, labor, land and production were critical in the optimal solution. In relation to the water use optimization, it was verified that an expressive reductions on the irrigation requirements may be achieved by small reductions on the maximum total net present value.

Computational modeling for irrigated agriculture planning. Part II: risk analysis

Techniques of evaluation of risks coming from inherent uncertainties to the agricultural activity should accompany planning studies. The risk analysis should be carried out by risk simulation using techniques as the Monte Carlo method. This study was carried out to develop a computer program so-called P-RISCO for the application of risky simulations on linear programming models, to apply to a case study, as well to test the results comparatively to the @RISK program. In the risk analysis it was observed that the average of the output variable total net present value, U, was considerably lower than the maximum U value obtained from the linear programming model. It was also verified that the enterprise will be front to expressive risk of shortage of water in the month of April, what doesn't happen for the cropping pattern obtained by the minimization of the irrigation requirement in the months of April in the four years. The scenario analysis indicated that the sale price of the passion fruit crop exercises expressive influence on the financial performance of the enterprise. In the comparative analysis it was verified the equivalence of P-RISCO and @RISK programs in the execution of the risk simulation for the considered scenario.

Integrating professional education, research and extensionin irrigated agriculture technology centers

With the objective to stimulate the use of irrigation and the electric energy fee reduction during night time program granted by the 2004 Federal law, the Government of the state of Paraná, Brazil launched the Night Irrigation Program - NPI. Beyond this discount, the farmer that adheres to NPI will get additional benefits, as completion of the electric grid without cost, subsidized financing of equipment, technical assistance, support with environmental farm compliance, and the possibility of replacing the entire pump energy matrix. As part of the NPI strategy of action, installation of learning centers for irrigation technology was planned in agricultural schools, thus contributing both to improve technical professional training in agriculture, and for the dissemination of knowledge in irrigated agriculture, in order to increase agricultural productivity.

Management zones in agriculture acording to the soil and landscape variables

The study of spatial variability of soil and plants attributes, or precision agriculture, a technique that aims the rational use of natural resources, is expanding commercially in Brazil. Nevertheless, there is a lack of mathematical analysis that supports the correlation of these independent variables and their interactions with the productivity, identifying scientific standards technologically applicable. The aim of this study was to identify patterns of soil variability according to the eleven physical and seven chemical indicators in an agricultural area. It was used two multivariate techniques: the hierarchical cluster analysis (HCA) and the principal component analysis (PCA). According to the HCA, the area was divided into five management zones: zone 1 with 2.87ha, zone 2 with 0.8ha, zone 3 with 1.84ha, zone 4 with 1.33ha and zone 5 with 2.76ha. By the PCA, it was identified the most important variables within each zone: V% for the zone 1, CTC in the zone 2, levels of H+Al in the zone 4 and sand content and altitude in the zone 5. The zone 3 was classified as an intermediate zone with characteristics of all others. According to the results it is concluded that it is possible to separate into groups (management zones) samples with the same patterns of variability by the multivariate statistical techniques.

Precision agriculture in Australia: present status and recent developments

A brief account of the present status of Precision Agriculture (PA) in Australia is presented, and areas of opportunity in the grains, sugar and wine industries are identified. In particular, these relate to the use of spatially-distributed experimentation to fine-tune management so as to achieve production efficiencies, reduced risk of environmental impact and enhanced food security, and the management of crop quality through selective harvesting and product streaming. The latter may be an important avenue by which farmers can take a more active role in the off-farm part of agricultural value chains. The important role of grower groups in facilitating PA adoption is also discussed.

Use of penetrometers in agriculture: a review

Soil physical quality can be easily and quickly evaluated by using simple equipment to identify levels of soil compaction. Hence, it is necessary to know the variables responsible for changes in the soil penetration resistance (SPR). The aim of this review is to identify the main factors related to the various equipment used for assessing SPR as a soil physical quality indicator in agriculture. This literature review describes the different types of equipment used and its relationship with SPR. A wide range of procedures, devices, and equipments are available. Much of variability in SPR results is related to the equipment model, cone angle and diameter, and penetration rate. Usually, restrictions to root growth are correlated with SPR values above 2-3 MPa. However, comparisons of SPR values obtained under different soil moisture regimes in the same soil type have provided conflicting results of difficult interpretation. In order to minimize these problems, there is a need for standardization of measurement procedures and interpretation, and/or correction of SPR values according to a soil water content of reference.

A multicriteria model to assess tractors used in family agriculture

In recent years, public policy has been offering subsidized credit for machine purchase to family farmers. However, there is no methodological procedure to select a suitable tractor for these farmers' situation. In this way, we aimed to develop a selection model for smallholder farmers from Pelotas city region in the state of Rio Grande do Sul. Building a multicriteria model to aid decisions is divided into three main stages: structuring stage (identifying stakeholders, decisional context and model creation), evaluation stage (stakeholder preference quantification) and recommendation stage (choice selection). The Multicriteria method is able to identify and value the criteria used in tractor selection by regional family farmers. Six main evaluation areas were identified: operational cost (weight 0.20), purchase cost (weight 0.22), maintainability (weight 0.10), tractor capacity (weight 0.26), ergonomics (weight 0.14) and safety (weight 0.08). The best-rated tractor model (14.7 kW rated power) also was the one purchased by 53.3% of local families.

The effectiveness of vocationally oriented multidisciplinary rehabilitation (ASLAK®) amongst public sector employees

In Finland, vocationally oriented medical rehabilitation (ASLAK®) is a common preventive rehabilitation measure with the primary goal of preserving and improving work ability. The ASLAK® programme has been used for almost 30 years, although limited data exist on its effectiveness. The aims of this study were to determine whether the increased risk of work disability predicts the participants’ likelihood to be granted ASLAK® rehabilitation and to assess the effectiveness of the programme in decreasing the risk of work disability and modifying health-risk behaviours. This study is a part of the on-going Finnish Public Sector Study conducted by the Finnish Institute of Occupational Health. Data on 53 416 employees (81% women) were gathered from employers’ records, national health registers and repeated survey responses. During the 5-year follow-up, increased levels of the risk factors for work disability did not predict participation in the rehabilitation programme. During the 2.8-year followup (range 0.04–5.0 years), the risk of long-term work disability (sick leave >90 days or retirement) overall or, more specifically, due to musculoskeletal or mental diseases did not differ between the rehabilitants who participated in ASLAK® in 1997–2005 and their propensity score matched controls. There was no evidence of ASLAK® being effective in changing participants’ health-risk behaviours or in improving perceived general or mental health. The results suggest that potential participant recognition, mainly taking place in occupational health care, may fail to identify those with a higher risk of work disability. No evidence on the effectiveness of the programme was found in the study cohort when measured by the selected indicators.

Importance of multidisciplinary trauma prevention program for youth

OBJECTIVE: present the experience of the P.A.R.T.Y. program in Campinas, thereby changing the habits of young people.METHODS: The organizers visited the participating schools talking to the students, who are aged between 14-18 years. These students spent an afternoon at the Clinics Hospital of Unicamp, where, for four hours, they attended lectures of the organizers, partners and municipal sectors, and also visited the hospital, talking with trauma victims. Questionnaires were evaluated between2010-2012, being applied before and after the project.RESULTS:2,450 high school students attended the program. The mean age is 16 ± 0,99 years and 37.6% were male. 3.6% of males already drive while drunk versus 0.8% of women. Before the project 116 (11.3%) thought that drunk driving wasn't a risk, and only 37 (3.6%) knew the alcohol effects. After the project, 441 (43%) began to consider drunk driving a risk and 193 (18.8%) know the alcohol effects when driving. 956 (93.3%) considered that prevention projects have a huge impact on their formation.CONCLUSION: It's expected that the attendees will act as multipliers of information, conveying the message of prevention to their entire social circles resulting in reduction in the number of trauma events involving the young, in the long term.

Are we supreme in agriculture?

17 x 24 cm

Frequency of fear of needles and impact of a multidisciplinary educational approach towards pregnant women with diabetes

PURPOSE: To evaluate the frequency of fear of needles and the impact of a multidisciplinary educational program in women with pre-gestational and gestational diabetes taking insulin during pregnancy. METHODS: The short Diabetes Fear of Injecting and Self-testing Questionnaire (D-FISQ), composed by two subscales that access fear of self injection (FSI) and fear of self testing (FST), was administered twice during pregnancy to 65 pregnant women with pre-gestational and gestational diabetes: at the first endocrine consult and within the last two weeks of pregnancy or postpartum. An organized multidisciplinary program provided diabetes education during pregnancy. Statistical analysis was carried out by Wilcoxon and McNemar tests and Spearman correlation. A p<0.05 was considered to be significant. RESULTS: Data from the short D-FISQ questionnaire shows that 43.1% of pregnant women were afraid of needles in the first evaluation. There was a significant reduction in scores for FSI and FST subscales between the first and second assessments (first FSI 38.5% compared with second 12.7%, p=0.001; first FST 27.7% compared with second FST 14.3%, p=0.012). CONCLUSIONS: The fear of needles is common in pregnant women on insulin therapy and an organized multidisciplinary educational diabetes program applied during pregnancy reduces scores of such fear.