INTRODUCTION Introduction of autonomous robotic vehicles in an agricultural operation environment may potentially allow care and management of crops in ways that reduce the environmental impact, while increasing precision and efficiency (Earl et al., 2000; Kondo & Ting, 1998). Successful deployment of such vehicles requires the traditional field operation management process to be revisited. Man...

Hiroyuki Iseki, Ph.D., Assistant Professor* Email: [email protected] National Center for Smart Growth, Research and Education Urban Studies and Planning Program, School of Architecture, Planning and Preservation 1112U Preinkert Field House (Building 054) University of Maryland, College Park, MD 20742 Phone: (301) 405-6788; FAX: (301) 314-5639. with Qing Li, Ph.D. Candidate Email: [email protected] ...

The rain-fed mechanized agricultural sub-sector of the Sudan has high potential of building a national food stock and foreign exchange earnings, which could contribute substantially to agricultural development and hence the development of the whole economy as well. However, the agricultural production in this sub-sector is generally characterized by a high degree of instability, which arises fr...

Annual crop planning (ACP) is an NP-Hard type optimisation problem in agricultural planning. It involves finding optimal solutions for the seasonal allocations of a limited amount of agricultural land among the various competing crops that need to be grown on it. This study investigates the effectiveness of employing three relatively new Swarm Intelligence (SI) techniques in determining solutio...

The planning program serves for the economical calculation of the effects of development decisions in agricultural enterprises, put on a long-term basis. The program evaluates individual values of agricultural enterprises on the basis of fixed formulas. The use of default values offered by the Saxon State Institute for agriculture is also possible for comparative appreciations. The planning hor...