Web-Based Irrigation Monitoring and Control System

Abstract

In Uganda, as well as other developing countries, the increasing population stimulates the agricultural-related activities such as irrigation. Irrigation is basically done by humans and generally requires exhaustive physical efforts and involves exposure to errors during irrigation. Despite the advances in the irrigation and its wide spreading applications, irrigation remains majorly manual. Since irrigating is a difficult process especially when irrigating a big piece of land, it is necessary to simplify the process, thus web based system in irrigating was introduced and existing implementations have limitations such as irrigating at wrong hours, continued wastage of water, so prevent all this, a new system that uses a web control to remotely irrigate from a distance has been developed ,therefore main objective of this project is to design and develop a web based irrigation monitoring and control system since it is observed that this method is more reliable and efficient compared to the existing methods. The developed system is able to automatically receive the moisture levels from the field, responds to the different commands sent by the user to do the irrigation and the user is also able to switch on and off the pump.

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“…Most common recommender systems make use of recommendation techniques such as content-based (CB), collaborative filtering (CF), and knowledge-based (KB) techniques, with each technique having their merits and demerits. This has led to the of the advent of many other advanced recommendation approaches such as context awareness-based recommender systems, computational intelligence-based recommendation systems, fuzzy recommender systems, social network-based recommender systems, and group recommender systems [3].…”

“…Recently, it has been observed that application study has become the main research focus of current recommender system research especially in this age characterised by big data such as: learning materials recommendations, films, music, tourism scenic spots, television programs, books, documents, websites, conferences, amongst others [4]. Clusters of eight main domains namely: e-commerce, e-learning, e-library, e-government, e-tourism, e-resource services and egroup activities are some of the application areas which these recommender systems involved in [3]. Our system is a hybrid system (e-education) which combines aspects linked to e-learning, etourism and e-group activities; e-library could also be part of it.…”

“…This type of systems has seen dozens of its applications developed with the knowledge-based technique being the dominant technique used due to the weaknesses of the other techniques. These systems are mainly focused on pedagogical aspects to assist learners achieve their learning objectives [3]. Our system being an e-education system definitely borrows some aspects of it as students arriving the NEU campus will have to meet their learning objectives as they get settle, though it would not help them immediately they just arrive the campus.…”

“…Generally, e-tourism recommender systems are developed to provide suggestions for tourists with some of them focusing on attractions and destinations, while others offer tour plans that include transportation, restaurants and accommodation. The degree of complexity and requirements of their recommended items usually warrant the application of different recommendation techniques that are well suited [3]. Students arriving the NEU campus will want to get acquainted to the community soonest, thus, systems like these could be of great assistance.…”

“…Amongst these, some do not give the opportunity to the users to explicitly specify their preferences or some scenarios in which users need to negotiate online to engage in an activity together. In such cases, the users will require online decision support systems for a whole group [3]. Traditional recommender systems only make suggestions for individual users; thus, group recommender systems (GRS) are proposed to combine and balance the individual expectations of group members to produce satisfying recommendations to the group.…”