The integration of local agricultural knowledge deepens the understanding of complex phenomena such as the association between climate variability, crop yields and undernutrition. Participatory Sensing (PS) is a concept which enables laymen to easily gather geodata with standard low-cost mobile devices, offering new and efficient opportunities for agricultural monitoring. This study presents a ...

Although not conspicuous in its literature, agricultural modelling and its applications have inherited much from the field of operational (operations) research. In the late 1940s, techniques for mathematically simulating processes came into agricultural science directly from industry. The decision support system (DSS) concept followed almost 40 years later. It seems that the large differences b...

The execution of field operations by a fleet of cooperating machines needs to be carefully planned, in order to achieve maximum efficiency. Hence, it is necessary to describe these operations with mathematical models that can be used for optimal planning. The complexity of agricultural operations makes such modeling difficult. Important variables for planning, such as logistics for crop yield, ...

When analyzing agricultural field machinery from an engineering perspective, it appears that the technical development has progressed in a different pattern compared to what is seen in other industrial mechanical or tooling systems. As in other fields, the technical development of agricultural field machinery has brought new technical and engineering elements into use. Especially for tractors a...

Following in the footsteps of a variety of previous research that elaborates on the current state of affairs in academia, this article sets out the argument that neoliberalism and its corresponding iterations of science and technology and research funding policies in this country have implications for the types of knowledge that can be generated within and communicated without contemporary inst...

1. Abstract The most important factors for the quality and productivity of plant growth are temperature, humidity, light and the level of the carbon dioxide. Continuous monitoring of these environmental variables gives information to the grower to better understand, how each factor affects growth and how to manage maximal crop productiveness .The optimal greenhouse climate adjustment can enable...

The paper “ARM Based Agricultural Field Monitoring System using GSM” is mainly focused on modernizing the irrigation technology in agriculture and also to provide adequate irrigation in particular area. The set up consists of mainly ARM7TDMI core and GSM. GSM serves as an important part as it is responsible for controlling the irrigation on field and sends them to the receiver through coded sig...

Spatial variability in soil properties has long been observed within uniformly managed fields. Understanding the spatial characteristics of soil properties would be helpful in understanding soil–landscape relationships and in the development of site-specific management. The primary objective of this research was to quantify the spatial characteristics of claypan soil properties for a 4-ha agric...

Trends in the evolution and development of agricultural field machinery are often shaped by the technological development in other sectors of the world’s economy such as defense and transportation. For example, without defense-related concerns over locating troop movements or guiding ordinates, it is doubtful that the civilian sector alone would have provided enough justification for space-base...

The problem of segmenting agricultural fields in aerial images is still a manual work in most Geographic Information System requiring repetitive, tedious and timeconsuming human work. Here, we address the problem of semiautomatic segmenting agricultural fields by region competition technique that integrates region growing and deformable models. The deformable model dynamically adapts its contou...