Log in

Relevant bibliographies by topics / Crop Maximization / Journal articles

To see the other types of publications on this topic, follow the link: Crop Maximization.

Journal articles on the topic 'Crop Maximization'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Crop Maximization.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Vieth, Gary R., and Pramote Suppapanya. "An Evaluation of Selected Decision Models: A Case of Crop Choice in Northern Thailand." Journal of Agricultural and Applied Economics 28, no. 2 (1996): 381–91. http://dx.doi.org/10.1017/s1074070800007380.

Full text

Abstract:

AbstractThis research examines the predictability of a profit maximization model, an expected value-variance utility maximization (E-V) model, and two versions of the target-MOTAD model for modeling risky agricultural production decisions. Model solutions were translated into expected value and variance of farm income for analysis. Direct comparison and chi-square analysis of actual and predicted expected income distributions were used in the analyses. It was concluded that the utility maximization and cash-cost target-MOTAD models predicted distributions of farm income better than the variabl

APA, Harvard, Vancouver, ISO, and other styles

2

Ikram, Amna, Waqar Aslam, Roza Hikmat Hama Aziz, et al. "Crop Yield Maximization Using an IoT-Based Smart Decision." Journal of Sensors 2022 (May 17, 2022): 1–15. http://dx.doi.org/10.1155/2022/2022923.

Full text

Abstract:

Today, farmers are suffering from the low yield of crops. Though right crop selection is the main boosting key to maximize crop yield by doing soil analysis and considering metrological factors, the lack of knowledge about soil fertility and crop selection is the main reason for low crop production. In the changed current climate, the farmers having primitive knowledge about conventional farming are facing challenges about making sagacious decisions on crop selection. The selection of the same crop in every seasonal cycle makes the low soil fertility. This study is aimed at making an efficient

APA, Harvard, Vancouver, ISO, and other styles

3

Melkamu, Moti, Tadesse Fisseha, and Edossa Dugassa. "MAXIMIZATION PROFIT OF AGRICULTURAL CROP PRODUCTION THROUGH DECISION MAKING APPLICATION." Journal of Trends and Challenges in Artificial Intelligence 1, no. 2 (2024): 51–60. http://dx.doi.org/10.61552/jai.2024.02.002.

Full text

Abstract:

In Ethiopia different crops are produce (harvest), the major crops produced in the country are Teff, Sorghum, wheat, bean, barely, raise, pea, nueg and maize. Those crops produced state of nature (uncertain condition) like good condition or poor condition with deferent amount of generating profit in each crop. In this case depend up on the amount of crop produced, high amount of crop produced in good condition in 2017 year and low amount of crop produced in poor condition in 2016 year. In order to maximize the profit of each crop, it needs to minimize the amount of loss during each states of c

APA, Harvard, Vancouver, ISO, and other styles

4

Ahmadzai, Najeebullah, Teruaki Nanseki, and Yosuke Chomei. "Cereal Crop Farm Planning for Profit Maximization in Afghanistan." Journal of the Faculty of Agriculture, Kyushu University 61, no. 2 (2016): 401–6. http://dx.doi.org/10.5109/1686505.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Muhammad, Kaleem, Sher Khattak Bahadar, and Rashid Ali Syed. "The role of new technology Intervention of Crop Maximization." Global Social Sciences Review (GSSR) 1, no. 1 (2016): 10. https://doi.org/10.31703/gssr.2016(I-I).04.

Full text

Abstract:

This research paper demonstrates the role of new technology intervention of crop maximization project in increasing crop production of small farmers of district Charsadda. The core objective of this study was to know the significance of new technology adoption at small scale agriculture and its effect on productivity enhancement of small farmers of district Charsadda. The research was conducted in two union councils i.e. Rajjar-II and Sarki Tetara of Tehsil and district Charsadda. For data collection Pre-tested interview schedule was used. The data were collected from 150 targeted small farmer

APA, Harvard, Vancouver, ISO, and other styles

6

Adekanmbi, Oluwole, Oludayo Olugbara, and Josiah Adeyemo. "An Investigation of Generalized Differential Evolution Metaheuristic for Multiobjective Optimal Crop-Mix Planning Decision." Scientific World Journal 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/258749.

Full text

Abstract:

This paper presents an annual multiobjective crop-mix planning as a problem of concurrent maximization of net profit and maximization of crop production to determine an optimal cropping pattern. The optimal crop production in a particular planting season is a crucial decision making task from the perspectives of economic management and sustainable agriculture. A multiobjective optimal crop-mix problem is formulated and solved using the generalized differential evolution 3 (GDE3) metaheuristic to generate a globally optimal solution. The performance of the GDE3 metaheuristic is investigated by

APA, Harvard, Vancouver, ISO, and other styles

7

Bhagat, SP, NK Medhe, SS Ilhe, et al. "Yield maximization of Bt. cotton by integrated crop management techniques." International Journal of Research in Agronomy 7, no. 11S (2024): 395–99. http://dx.doi.org/10.33545/2618060x.2024.v7.i11sf.2019.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Akshata, A., SU Kakade, ND Parlawar, AN Paslawar, and OS Rakhonde. "Yield maximization of Bt cotton by integrated crop management techniques." International Journal of Research in Agronomy 7, no. 10S (2024): 753–56. http://dx.doi.org/10.33545/2618060x.2024.v7.i10sk.1893.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

S. P. Bhagat, N. K. Medhe, S. S. Ilhe, N. J. Danawale, and N. K. Bhute. "Yield Maximization of Bt. Cotton by Integrated Crop Management Techniques." Journal of Agriculture Research and Technology 50, no. 01 (2025): 89–95. https://doi.org/10.56228/jart.2025.50112.

Full text

Abstract:

A field experiment entitled, “Yield maximization of Bt. cotton by integrated crop management techniques” was caried out during kharif, 2023 at Cotton Improvement Project, Mahatma Phule Krishi Vidyapeeth, Rahuri, Maharashtra (India). The experiment was laid out in Randomized Block Design (RBD) with three replications and nine treatments.The results of present investigation revealed that, yield and yield contributing characters of Bt. cotton were significantly influenced by differenttreatments.Treatment T1 i.e., wider spacing (90 cm x 90 cm) recorded significantly maximum number of picked bolls

APA, Harvard, Vancouver, ISO, and other styles

10

Saad, João Carlos Cury, and Evanize Rodrigues Castro. "WATER AND ENERGY SAVINGS IN MICROIRRIGATION SYSTEMS DESIGN USING OPTIMIZATION MODELS." International Journal for Innovation Education and Research 8, no. 6 (2020): 394–417. http://dx.doi.org/10.31686/ijier.vol8.iss6.2434.

Full text

Abstract:

The main disadvantage of trickle irrigation systems is its comparatively high initial cost, which depends on the layout, design, and management of its hydraulic network. Designing the sub-main and lateral lines aiming the emitter uniformity maximization can reduce the microirrigation system costs. This research aimed to compare linear and nonlinear programming models and maximization versus minimization criteria to optimize the crop net benefit, considering the water and energy savings. Two versions of LP and NLP models were developed: the first minimized the equivalent annual cost of the irri

APA, Harvard, Vancouver, ISO, and other styles

11

Maisashvili, Aleksandre, Henry L. Bryant, and Jason P. H. Jones. "Implications of Alternative Crop Insurance Subsidies." Journal of Agricultural and Applied Economics 52, no. 2 (2020): 240–63. http://dx.doi.org/10.1017/aae.2019.46.

Full text

Abstract:

AbstractIn this research, we analyze the economic effects across various crop insurance subsidy and policy scenarios to determine producer insurance choice response, total premium and subsidy payments and study their economic implications on dryland corn, soybean, and winter wheat producers. We rely on the expected utility maximization framework to rank policy combination sets that are available to a typical producer to analyze the impacts of crop insurance subsidy changes and elimination of certain insurance policies across the three crops. Several scenarios were analyzed across subsidy and p

APA, Harvard, Vancouver, ISO, and other styles

12

Hamill, Allan S., Susan E. Weaver, Peter H. Sikkema, Clarence J. Swanton, Francois J. Tardif, and Gabrielle M. Ferguson. "Benefits and Risks of Economic vs. Efficacious Approaches to Weed Management in Corn and Soybean." Weed Technology 18, no. 3 (2004): 723–32. http://dx.doi.org/10.1614/wt-03-166r.

Full text

Abstract:

A 3-yr study was conducted on nine farms across southern Ontario to evaluate the risks and benefits of different approaches to weed management in corn and soybean. Weed control decisions were based on field scouting and recommendations from the Ontario version of HADSS™, the herbicide application decision support system. Treatments were selected to maximize profit (economic threshold approach) or to maximize yield (highest treatment efficacy). Reduced rates of the high efficacy treatment for each field also were included. Weed density before and after treatment, crop yields, weed seed return,

APA, Harvard, Vancouver, ISO, and other styles

13

R, Ranjeetha, Surekha S, and Shobha KV. "Broccoli: A crop-for income maximization under Bengaluru Rural district, Karnataka." International Journal of Research in Agronomy 7, no. 12 (2024): 444–46. https://doi.org/10.33545/2618060x.2024.v7.i12f.2189.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Adenso-Díaz, Belarmino, and Gabriel Villa. "Crop Planning in Synchronized Crop-Demand Scenarios: A Biobjective Optimization Formulation." Horticulturae 7, no. 10 (2021): 347. http://dx.doi.org/10.3390/horticulturae7100347.

Full text

Abstract:

Crop planning problems have been extensively studied from different perspectives (profit maximization, optimizing available water use, sustainability, etc.). In this paper, a new approach is proposed that considers new forms of customer-producer relationship, involving long-term cooperation agreements where the product volumes are agreed, and the demand is guaranteed in advance. In this context, typical of manufacturing production systems, crop planning must guarantee a given production level on specific dates, thus becoming deterministic in nature. In that context, this paper introduces a lex

APA, Harvard, Vancouver, ISO, and other styles

15

Bhamare, Dr Megha Abhiman. "Optimizing Crop Selection and Production Planning in Agriculture: Applications of Linear Programming for Profit Maximization and Sustainability." International Journal of Research Publication and Reviews 4, no. 6 (2023): 3281–87. http://dx.doi.org/10.55248/gengpi.4.623.46630.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Zhou, Ronghao. "Predictive Planting Strategy Optimization Model for Crops Based on Linear Programming." Highlights in Science, Engineering and Technology 139 (April 28, 2025): 233–41. https://doi.org/10.54097/yjh81450.

Full text

Abstract:

Cropping strategies are important for crop planning in rural land. In rural areas, it is necessary to make full use of limited cultivated land resources, select suitable crops, make field management more convenient, reduce the planting risks that may be caused by various uncertain factors, maintain profits, and optimize planting strategies plays a vital role. In this paper, the method of linear programming is used to study the specific background of a simulated low temperature region in the North China Plain, and the optimal planting strategy model and the maximum return expectation optimizati

APA, Harvard, Vancouver, ISO, and other styles

17

Girish, Jathar Raj. "Agri- wiz An AI Driven Platform for Crop Recommendation and Yield Maximization." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem50964.

Full text

Abstract:

This presentation delves into the evolution and real-world use of a crop recommendation system powered by machine learning. By harnessing historical agricultural data and key environmental variables, the system offers farmers personalized crop choices that promote higher productivity. Drawing on diverse data sources and cutting-edge algorithms, these AI-based solutions have shown impressive gains in performance—boosting efficiency, enhancing precision, and supporting more sustainable practices. Among the notable advancements are a 15% increase in the accuracy of yield predictions, a reduction

APA, Harvard, Vancouver, ISO, and other styles

18

Muhammad, Kaleem. "Importance of Social Mobilization Intervention of Crop." Global Social Sciences Review 1, no. 2 (2016): 98–107. https://doi.org/10.5281/zenodo.4326511.

Full text

Abstract:

This research study is carried out to know about the importance of social mobilization intervention of Crop Maximization Project on the socio-economic development of small farmers of district Charsadda. The objective of this research study was to know about the role of the social mobilization of the project in uplifting the social and economic conditions of small farmers of the targeted area. The present research study was carried out in union councils Rajjar-II and Sarki Tetara of Tehsil and district Charsadda. Pre-tested interview schedule was used for data collection from 150 respondents, w

APA, Harvard, Vancouver, ISO, and other styles

19

Muhammad, Kaleem, Sher Khattak Bahader, and Rashid Ali Syed. "Importance of Social Mobilization Intervention of Crop." GLOBAL SOCIAL SCIENCES REVIEW (GSSR) I, no. II (2016): 98–107. https://doi.org/10.31703/gssr.2016(I-II).07.

Full text

Abstract:

This research study is carried out to know about the importance of social mobilization intervention of Crop Maximization Project on the socio-economic development of small farmers of district Charsadda. The objective of this research study was to know about the role of the social mobilization of the project in uplifting the social and economic conditions of small farmers of the targeted area. The present research study was carried out in union councils Rajjar-II and Sarki Tetara of Tehsil and district Charsadda. Pre-tested interview schedule was used for data collection from 150 respondents, w

APA, Harvard, Vancouver, ISO, and other styles

20

Md Zain, Nur Jannah, and Wan Nurshazelin Wan Shahidan. "Maximization of Palm Fruit Planted Area Using a Goal Programming Approach." Journal of Computing Research and Innovation 3, no. 3 (2018): 46–51. http://dx.doi.org/10.24191/jcrinn.v3i3.71.

Full text

Abstract:

Malaysia is currently facing low production of palm fruit. The poor palm fruit output will inevitably affect the economy in Malaysia. Hence, the government related agency needs to find effective ways to increase the production of palm fruit. Factors that affect the production of palm fruit include palm tree planted area and quantity of the crop. This paper proposes the Goal Programming approach to maximize the production of palm fruit. The approach maximized the planted area for three rural areas and increases the number of palm fruit crop for three rural areas. This approach is used to find o

APA, Harvard, Vancouver, ISO, and other styles

21

Singh, Abhaya Pal, Amol Yerudkar, Davide Liuzza, Yang Liu, and Luigi Glielmo. "An Optimal Decision Support System Based on Crop Dynamic Model for N-Fertilizer Treatment." Sensors 22, no. 19 (2022): 7613. http://dx.doi.org/10.3390/s22197613.

Full text

Abstract:

The efficient handling of nitrogen has become a critical issue in modern agriculture, from a financial standpoint, as well as in regard to reducing the environmental impacts of using an excessive amount of nitrogen fertilizer. Manure compost is useful for maintaining or raising soil chemical levels without excessive NO3− accumulation; however, for the best grain yield, it should be combined with N fertilizer. Via this study, we aimed to develop an optimal decision support system that indicates when to initiate fertilization based on nitrogen-limited (N-limited) crop growth dynamics. An optimal

APA, Harvard, Vancouver, ISO, and other styles

22

Priya, N., and G. Geetha. "Dynamic Programming Based Resource Optimization in Agricultural Big Data for Crop Yield Maximization." Journal of Computational and Theoretical Nanoscience 14, no. 9 (2017): 4464–70. http://dx.doi.org/10.1166/jctn.2017.6762.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Ren and Zhang. "An Inexact Optimization Model for Crop Area Under Multiple Uncertainties." International Journal of Environmental Research and Public Health 16, no. 14 (2019): 2610. http://dx.doi.org/10.3390/ijerph16142610.

Full text

Abstract:

This paper developed a type-2 fuzzy interval chance constrained programming model for optimizing a crop area, which integrated chance constrained programming and type-2 fuzzy interval programming. The developed model was then applied to a case study in Wuwei City, Gansu Province, China, and the maximization of economic benefit was selected as the planning objective. Furthermore, different water-saving irrigation modes were considered as the development mode. A series of optimal irrigation water and planting structure schemes were obtained under different violation probabilities in each water-s

APA, Harvard, Vancouver, ISO, and other styles

24

J., Jyothsna, S. Nadaradjan, A. Shanthi, V. Sundaram, and M. S. Marichamy. "Multivariate Analysis for Designing Okra Crop Ideotype with Enhanced Yields and Strategy Formulation: A Crop Physiology Perspective." Journal of Advances in Biology & Biotechnology 27, no. 7 (2024): 727–36. http://dx.doi.org/10.9734/jabb/2024/v27i71032.

Full text

Abstract:

A crop ideotype, representing an optimal crop type with higher yield and improved quality, requires minimal input per unit of dry matter produced. This concept aims to amalgamate all yield-contributing traits into a single plant genotype. Our study induced changes in okra plants using various growth regulators, known to positively influence growth, development, and yield. Through rigorous analysis, we identified key traits correlated with yield and proposed an ideal plant phenotype characterized by reduced plant height, leaf area index, and crude fibre content, alongside increased primary bran

APA, Harvard, Vancouver, ISO, and other styles

25

Sahi, Supreet Kaur. "Genetic algorithm-based optimization for enhancing crop yield and resource efficiency in agriculture." Journal of Information and Optimization Sciences 46, no. 4-A (2025): 1059–67. https://doi.org/10.47974/jios-1891.

Full text

Abstract:

Maximization of crop yield with minimization of resource inputs is one of major problem faced by different agricultural practices. Global food security depends on achieving sustainable crop yield and resource efficiency in agriculture. Promising approach to handle these optimization problems is offered by Genetic Algorithms that is based on iteratively evolving solutions based on natural selection and genetic inheritance principles. This paper presents the application of Genetic Algorithm in optimizations of agricultural practices, with a special focus on increasing crop yield and resource eff

APA, Harvard, Vancouver, ISO, and other styles

26

Qian, Xuyao, Xin Li, and Yutian Zhang. "Research on Crop Planting Scheme Based on PSO-BP Neural Network." Highlights in Science, Engineering and Technology 139 (April 28, 2025): 278–82. https://doi.org/10.54097/ejg8pr55.

Full text

Abstract:

This study explores agricultural optimization through two main questions. First, a PSO-BP neural network model was used to derive an optimal planting strategy for profit maximization and cost minimization. The model incorporated yield gap, planting area, and planting practices constraints, resulting in stable, low errors, with a maximum profit of 3,561,194.9 yuan in 2030. For the second question, an optimization model was developed considering expected sales, crop yield, planting cost, sales price, and non-negativity constraints. The model was solved using the simulated annealing algorithm, ac

APA, Harvard, Vancouver, ISO, and other styles

27

Deepak, N. R., Madhan A, M. Abinraj, Mohamed Akram H, and Vijay Raghav H. "A Survey on a Prediction Model for Crop Productivity Optimization and Profit Maximization Using Market Trends and Topographical Factors." Journal of Advances in Computational Intelligence Theory 5, no. 2 (2023): 13–18. https://doi.org/10.5281/zenodo.7944198.

Full text

Abstract:

<em>Agricultural yield varies vastly with changes in topographical factors. Investing resources and effort on crops unmethodically can cause financial losses and disturb the supply and demand equilibrium. The market of crop produce is dynamic with unprecedented fluctuations due to economic and climatic factors. Climate change has altered the topography of practically every region across the globe. Factors like soil pH, precipitation, temperature, and humidity affect crop productivity in a multifold manner. The market price of certain produce have risen drastically from the past decade and of c

APA, Harvard, Vancouver, ISO, and other styles

28

Montesinos, Pilar, Emilio Camacho, and Serafin Alvarez. "Application of genetic algorithms for optimal seasonal furrow irrigation." Journal of Hydroinformatics 4, no. 3 (2002): 145–56. http://dx.doi.org/10.2166/hydro.2002.0016.

Full text

Abstract:

A quasi-optimum irrigation season calendar based on economic profit maximization for sloping and runoff-free furrows can be obtained by OPTIMEC (EConomic OPTIMization, in Spanish), a seasonal furrow irrigation model based on the concept of comprehensive irrigation. The model features four components: a soil moisture model, an irrigation hydraulic model, a crop yield model and an economic optimization module. This module uses a Genetic Algorithm (GA), a heuristic technique based on the laws of natural selection, to maximize farmer profit. The GA is a suitable technique to solve the problem of p

APA, Harvard, Vancouver, ISO, and other styles

29

Young, Katherine D., C. Richard Shumway, and H. L. Goodwin. "Profit maximization—does it matter?" Agribusiness 6, no. 3 (1990): 237–53. http://dx.doi.org/10.1002/1520-6297(199005)6:3<237::aid-agr2720060306>3.0.co;2-q.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Muhammad, Kaleem, Sher Khattak Bahadar, and Ali Syed Rashid. "The Role of New Technology Intervention of Crop Maximization Project in Increase in Crop Production of Small Farmers of District Charsadda." Global Social Sciences Review I, no. I (2016): 48–57. http://dx.doi.org/10.31703/gssr.2016(i-i).04.

Full text

Abstract:

This research paper demonstrates the role of new technology intervention of crop maximization project in increasing crop production of small farmers of district Charsadda. The core objective of this study was to know the significance of new technology adoption at small scale agriculture and its effect on productivity enhancement of small farmers of district Charsadda. The research was conducted in two union councils i.e. Rajjar-II and Sarki Tetara of Tehsil and district Charsadda. For data collection Pre-tested interview schedule was used. The data were collected from 150 targeted small farmer

APA, Harvard, Vancouver, ISO, and other styles

31

Guo, Changcai, Jiachen Zhang, and Yi Lan. "Research on Optimal Crop Planting Strategy Based on Mixed-Integer Programming." Academic Journal of Science and Technology 13, no. 2 (2024): 326–31. https://doi.org/10.54097/11hmq212.

Full text

Abstract:

This study aims to explore the optimal crop planting strategy from 2024 to 2030 based on the Mixed-Integer Programming (MIP) method. Through systematic organization and in-depth analysis of rural crop cultivation and related statistical data collected in 2023, it was found that different types of crop planting plots have no significant impact on sales prices but do affect planting costs and yield per acre. The study also considered the impact of irrigated and greenhouse planting areas, as well as planting seasons on sales, costs, and yield. By establishing a crop planting profit maximization m

APA, Harvard, Vancouver, ISO, and other styles

32

Klockow, Kimberly E., Renee A. McPherson, and Daniel S. Sutter. "On the Economic Nature of Crop Production Decisions Using the Oklahoma Mesonet." Weather, Climate, and Society 2, no. 3 (2010): 224–36. http://dx.doi.org/10.1175/2010wcas1034.1.

Full text

Abstract:

Abstract Because of the sensitivity of agricultural production to both short-term weather and long-range climatic patterns, the availability of reliable and relevant meteorological data and climate products can potentially affect the entire production process. This study focuses on the use of information from a dense meteorological network—the Oklahoma Mesonet—and its AgWeather program in support of agricultural production decisions. Production decisions that are particularly dependent on information from the Mesonet are identified. Producers in Oklahoma are influenced by Mesonet data at sever

APA, Harvard, Vancouver, ISO, and other styles

33

Gohil, V. B., D. M. Patel, M. M. Chaudhary, N. B. Gohil, and J. R. Patel. "Yield Maximization of Bt Cotton Through Agro-techniques." International Journal of Plant & Soil Science 35, no. 23 (2023): 650–57. http://dx.doi.org/10.9734/ijpss/2023/v35i234284.

Full text

Abstract:

A field experiment was conducted during the two consecutive kharif seasons of 2019 and 2020 at Agronomy Instructional Farm, Chimanbhai Patel College of Agriculture, Sardarkrushinagar Dantiwada Agricultural University, Sardarkrushinagar, to study the yield maximization of Bt cotton through agro-techniques in loamy sand. The experiment consisted of four factors viz; spacing, topping, intercropping and sowing time with two levels in each treatment. The results of pooled data of 2 years revealed that Bt cotton sown at spacing of 60 cm × 45 cm recorded significantly higher plant height, crop growth

APA, Harvard, Vancouver, ISO, and other styles

34

Annou, Mamane M., Eric J. Wailes, and Michael R. Thomsen. "A Dynamic Decision Model of Technology Adoption under Uncertainty: Case of Herbicide-Resistant Rice." Journal of Agricultural and Applied Economics 37, no. 1 (2005): 161–72. http://dx.doi.org/10.1017/s1074070800007173.

Full text

Abstract:

Herbicide-resistant (HR) rice technology is a potential tool for control of red rice in commercial rice production. Using anex antemathematical programming framework, this research presents an empirical analysis of HR rice technology adoption under uncertainty. The analysis accounts for stochastic germination of red rice and sheath blight to model a profit maximization problem of crop rotation among HR rice, regular rice, and soybeans. The results demonstrate that risk attitudes and technology efficiency determine adoption rates and optimal rotation patterns.

APA, Harvard, Vancouver, ISO, and other styles

35

Jedik, Andrej, and Virginia Namiotko. "The evaluation of Lithuanian crop producers‘ decision making using a multiobjective optimization approach." Management Theory and Studies for Rural Business and Infrastructure Development 38, no. 2 (2016): 128–35. http://dx.doi.org/10.15544/mts.2016.10.

Full text

Abstract:

A review of the scientific literature revealed that the use of only one objective, such as the maximization of gross margin, is not sufficient to interpret farmers’ behavior. The research problem is to determine whether other attributes such as risk, leisure time also play an important role in their decision making. The paper aims to evaluate Lithuanian crop producers’ decision making using a multiobjective optimization approach in relatively small, medium and large farms. The analysis was performed on data from specialist cereals, oilseeds and protein crops’ farms covered by FADN. The results

APA, Harvard, Vancouver, ISO, and other styles

36

Zaltron, Diogo Kreitlow, Indiamara Marasca, Gilmar Oliveira Santos, Raisa Gomes Diniz, Stella Vanucci Lemos, and Antônio Jussiê da Silva Solino. "INTEGRATED CROP-LIVESTOCK-FOREST SYSTEM FOR SHEEPS AND GOATS." Científic@ - Multidisciplinary Journal 5, no. 3 (2018): 88–96. http://dx.doi.org/10.29247/2358-260x.2018v5i3.p88-96.

Full text

Abstract:

The Crop-Livestock-Forest Integration (ILPF) is a soil management that, if conducted with the recommended technical and agronomic principles, allows the maximization of productivity leveraged by sustainability. The chemical, physical and biological attributes of the soil should be evaluated, based on soil and water management and conservation needs, as well as the requirements of the most demanding components of the ILPF. The objective of this work was to evaluate the resistance to soil penetration in a pasture area and another with a conventional system. For this, the PenetroLOG Falker model

APA, Harvard, Vancouver, ISO, and other styles

37

Rao, Chenbo. "Research On Maximizing Crop Planting Returns Based on Genetic Algorithm." Highlights in Business, Economics and Management 53 (March 17, 2025): 295–302. https://doi.org/10.54097/nx2nj306.

Full text

Abstract:

With the rapid development of agricultural modernization, the traditional planting method relying on experience makes it difficult to effectively cope with market fluctuations and uneven distribution of resources, resulting in the difficulty of maximizing agricultural returns. To solve this problem, some crop data were pre-processed and the extreme values in the data were processed by IQR (Interquartile Range). On this basis, the agricultural planting income maximization model was constructed, and the Genetic Algorithm (GA) was used to optimize the model's prediction. Through genetic operation

APA, Harvard, Vancouver, ISO, and other styles

38

Liang, Kun, Jiaying Lei, Feiyang Wu, et al. "Analysis of optimal planting scheme based on the North China region." Journal of Physics: Conference Series 2898, no. 1 (2024): 012004. http://dx.doi.org/10.1088/1742-6596/2898/1/012004.

Full text

Abstract:

Abstract This paper constructs a linear programming model for optimizing crop planting strategies in rural mountainous areas of North China by simulating data and predicting the planting scheme for each sample plot in the next six years. It sets decision variables as plot, year, season, and crop planting area, considering crop rotation and three-year legume planting restrictions. Applying an improved genetic algorithm for solving, which improves efficiency through multi-matrix chromosome coding and optimized crossover mutation operation, and deals with infeasible solutions through a rule-based

APA, Harvard, Vancouver, ISO, and other styles

39

Matinkhah, S. Mojtaba. "Precision agriculture using voting ensemble method based on weather and soil conditions." Temas Agrarios 29, no. 2 (2024): 171–87. https://doi.org/10.21897/trsd1037.

Full text

Abstract:

Precision Agriculture, essential for optimizing crop yield and minimizing waste in the face of global population growth, relies on technology and data-driven approaches. Applying a machine learning model, that incorporates specific weather and soil data, stands out as a pivotal strategy in enhancing the efficiency of precision agriculture. Yet, constructing a singular optimal model poses challenges, necessitating a nuanced approach to achieve precise farming objectives. To address this, we propose a precise predictive model using hard voting ensemble method, aiding farmers in informed decision

APA, Harvard, Vancouver, ISO, and other styles

40

Deng, Sihan, Haichao Li, and Keran Tian. "Research on Optimal Crop Planting Strategy Based on Improved Quantum Genetic Algorithm." Theoretical and Natural Science 79, no. 1 (2025): 94–100. https://doi.org/10.54254/2753-8818/2025.19952.

Full text

Abstract:

In order to effectively cope with the complex agricultural environment and market uncertainty, this study proposed a crop planting optimization strategy based on the improved quantum genetic algorithm (QGA). Single-objective and multi-objective optimization models were proposed, focusing on profit maximization and risk balance under market fluctuations. The single-objective model used QGA to evaluate the optimal planting scheme under surplus and discount sales scenarios, and analyzed the crop area distribution and total income. For multi-objective optimization, the enhanced MO-QGA model combin

APA, Harvard, Vancouver, ISO, and other styles

41

Gu, Feifan, and Hao Yang. "Study on Crop Planting Optimization Based on Genetic Algorithm and Monte Carlo Method." Highlights in Science, Engineering and Technology 139 (April 28, 2025): 153–62. https://doi.org/10.54097/957kmz05.

Full text

Abstract:

In the context of limited global land resources, the optimization of crop planting scheme through genetic algorithm and Monte Carlo method can effectively improve the efficiency of agricultural production and resource utilization. Specifically, this study starts from the relevant data of crops in 2023, determines the selling unit price of each crop by using the principle of normal distribution, and after that, takes profit maximization as the objective function, combines the requirements of crop planting, growth pattern, actual conditions and the reality of easy cultivation and management as t

APA, Harvard, Vancouver, ISO, and other styles

42

Kumari, Santosh, Satpal Baloda, Rajesh Mor, Jaipal Jaipal, Sonu Kumar, and M. L. Jat. "Integrated Nutrient Management in Ppomegranate: A Review." Journal of Agriculture Research and Technology 49, no. 01 (2024): 195–200. https://doi.org/10.56228/jart.2024.49129.

Full text

Abstract:

Alleviation of poverty and achievement of zero hunger target and food security are significant challenges faced by agricultural planners worldwide. Indiscriminate use of chemical fertilizers for yield maximization is needed to report this aim which has drastic effects on crop growth and yield. Integrated Nutrient Management (INM) is a sustainable approach to managing soil fertility and plant nutrition that emphasizes the use of organic and inorganic fertilizers, along with cultural practices, to enhance soil health, promote plant growth, and increase crop yields. Integrated nutrient management

APA, Harvard, Vancouver, ISO, and other styles

43

Doi, Ryoichi, and Supachai Pitiwut. "From Maximization to Optimization: A Paradigm Shift in Rice Production in Thailand to Improve Overall Quality of Life of Stakeholders." Scientific World Journal 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/604291.

Full text

Abstract:

The concept of crop yield maximization has been widely supported. In practice, however, yield maximization does not necessarily lead to maximum socioeconomic welfare. Optimization is therefore necessary to ensure quality of life of farmers and other stakeholders. In Thailand, a rice farmers' network has adopted a promising agricultural system aimed at the optimization of rice farming. Various feasible techniques were flexibly combined. The new system offers technical strengths and minimizes certain difficulties with which the rice farmers once struggled. It has resulted in fairly good yields o

APA, Harvard, Vancouver, ISO, and other styles

44

Toscano, Pietro, Maurizio Cutini, Alex Filisetti, et al. "Workability Assessment of Different Stony Soils by Soil–Planter Interface Noise and Acceleration Measurement." AgriEngineering 4, no. 4 (2022): 1139–52. http://dx.doi.org/10.3390/agriengineering4040070.

Full text

Abstract:

Sowing is critical for successful crop establishment and productivity, particularly in precision agriculture management strategies. However, topsoil characteristics directly affect agribusiness maximization (i.e., crop-yield increase, machinery efficiency, operating-cost reduction) even in the most advanced farming management techniques. The excessive presence of coarse fractions or stones in arable soil layers prevents modern machinery from reaching optimal efficiency. This work focuses on sowing to verify whether the vibration and noise arising during this operation significantly change with

APA, Harvard, Vancouver, ISO, and other styles

45

Elbakidze, Levan, Brett Schiller, and R. Garth Taylor. "Estimation of Short and Long Run Derived Irrigation Water Demands and Elasticities." Water Economics and Policy 03, no. 01 (2017): 1750001. http://dx.doi.org/10.1142/s2382624x17500011.

Full text

Abstract:

Short-run and long-run derived irrigation water demand functions are estimated using shadow price data obtained from a profit maximization mathematical programming model. Crop and soil-type specific production functions are expressed in terms of applied irrigation water. Demand functions for two South Central Idaho counties are estimated using linear, semi-log, double-log, and Box-Cox transformation forms. Price elasticities, at the mean shadow prices, range from 0.8 to 1.2, 1.49 to 1.84, and 2.9 to 4.9, for short run, long run with deficit irrigation, and long run with no deficit irrigation,

APA, Harvard, Vancouver, ISO, and other styles

46

Kumbhar, Muhammad, Har Makhijani, Khalid Panhwar, Shuhabuddin Mughal, and Naseer Abbasi. "Study of Extension Teaching Methods Adopted through Crop Maximization Project: A Case Study of Sindh Province." Journal of Basic & Applied Sciences 11 (April 3, 2015): 300–303. http://dx.doi.org/10.6000/1927-5129.2015.11.44.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Bhogi, Basavarajappa, B. Maheshwara Babu, Nagarajappa Adivappar, et al. "Maximization of nutrient use efficiency and crop productivity using fertigation technology for cucumber (Cucumis sativus L.)." International Journal of Research in Agronomy 8, no. 7 (2025): 117–21. https://doi.org/10.33545/2618060x.2025.v8.i7b.3185.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

Othman, Khairulnizam, Mohd Norzali Mohd, Muhammad Qusyairi Abdul Rahman, Mohd Hadri Mohamed Nor, Khairulnizam Ngadimon, and Zulkifli Sulaiman. "A Mixed Gaussian Distribution Approach using the Expectation-Maximization Algorithm for Topography Predictive Modelling." WSEAS TRANSACTIONS ON COMPUTERS 24 (April 7, 2025): 29–41. https://doi.org/10.37394/23205.2025.24.4.

Full text

Abstract:

The incidence of sugarcane crop infestations at the migration stage, especially by the top borer, can lower yields substantially, which may translate to revenue losses of over 20% across many parts of the world. Traditional pest surveillance approaches tend to lack the accuracy required for timely intervention. This research introduces a new burden rate concept incorporated within a Gaussian Mixture Model (GMM), framed within a machine learning environment in order to enhance the precision of infestation pattern prediction. Through the utilization of the Expectation-Maximization (EM) algorithm

APA, Harvard, Vancouver, ISO, and other styles

49

S, Kiruthika, Sakthi P, Sanjay K, et al. "Smart Agriculture Land Crop Protection Intrusion Detection Using Artificial Intelligence." E3S Web of Conferences 399 (2023): 04006. http://dx.doi.org/10.1051/e3sconf/202339904006.

Full text

Abstract:

Human-wildlife conflict is the term used to describe when human activity results in a negative outcome for people, their resources, wild animals, or their habitat. Human population growth encroaches on wildlife habitat, resulting in a decrease in resources. In particular habitats, there are numerous forms of human and domesticated animal death or injury as a result of conflict. Farmers and the animals that invade farmland suffer greatly as a result. Our project’s primary objective is to lessen human-animal conflict and loss. The embedded system and image processing technique are utilized in th

APA, Harvard, Vancouver, ISO, and other styles

50

Eskridge, K. M., and B. E. Johnson. "Expected utility maximization and selection of stable plant cultivars." Theoretical and Applied Genetics 81, no. 6 (1991): 825–32. http://dx.doi.org/10.1007/bf00224997.

Full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!