Abstract
This paper presents a meta-heuristic based decision support system to support farmers with optimal strategic decision making in the crop planning system. The analysis and modelling of crop planning decision making process are attractive for producing formalized knowledge on cropping plans in an agricultural farm. The formalization of the decision making process is generally becoming a crucial focal point for developing decision support systems that go beyond the limitation of formerly developed prescriptive approaches. The methodology of this research strikes a balance between mathematical formulations of crop planning problems and effective implementation of crop planning decision models. The new approach used to solve this problem is applicable to both medium and large scale farming; it is also integrated a systemic framework to build better decision support systems in agriculture. DOI: 10.5901/mjss.2014.v5n20p359
Highlights
The agricultural sector is generally being faced with challenges of water use, soil erosion, and landscape design (Tong and Chen, 2002)
In spite of being faced with various challenges in transferring results to farmers (Stöckle et al, 2003), the suitability of a model-based techniques has been proved (Rounsevell et al, 2003). Crop selection and their land allocation are essential in crop planning decision making. These decisions focus on the complexity involved in the design of an innovative cropping system and selection of cropping plans which occur at different stages of crop production (Dury et al, 2012)
Based on the performance of the generalized differential evolution 3 algorithm in these literatures, the design of a decision support system incorporated with an evolutionary algorithm was realized which promises to assist farmers and decision-makers within the agricultural sector to make optimal decisions pertaining to crop planning
Summary
The agricultural sector is generally being faced with challenges of water use, soil erosion, and landscape design (Tong and Chen, 2002). In spite of being faced with various challenges in transferring results to farmers (Stöckle et al, 2003), the suitability of a model-based techniques has been proved (Rounsevell et al, 2003) Crop selection and their land allocation are essential in crop planning decision making. Once the crops that will provide the highest net profit have been determined, they will often consider rotations, herbicide residues, weed quandaries and several other factors This occurs as a result of the uncertainties that surrounds the decision-making process in that there may be various planting seasons, crop planning decision making does include a single decision but a continuous approach taking place all over the year (Johnson and Morehart, 2006)
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
