Precision agriculture is defined as the observation, impact assessment, and the timely strategic response for remedy to minute variation in agricultural production [1]. Precision agriculture is applied in a wide range of agricultural activities such as crop production, dairy farming, horticulture, and forest management. Site-specific crop management (SSCM) is one important component of precisio...

Field trials were used to investigate the phytotoxicity of foliar sprays of 2,4-D amine to sugarcane. Yield losses of variety NCo 376 resulted from band sprays when 3,3 kg ae/ha was sprayed onto plant or ratoon cane which had unfurled three or more leaves per shoot. The greater the foliar development of the crop at the time of spraying, the greater was the resulting crop loss. At similar stages...

In order to examine the accuracy of large amount of the field survey data with less accurate, an examination method based on multi-resolution satellite images was proposed in this paper. As there were so large amount of data, stratified random sampling was used to obtain effective samples. Firstly, vegetation index derived from low-resolution satellite images at different times has been adopted...

The yield response of various crops to salinity under field conditions is affected by soil processes and environmental conditions. The composition of dissolved ions depend on soil chemical processes such as cation or anion exchange, oxidation-reduction reactions, ion adsorption, chemical speciation, complex formation, mineral weathering, solubility, and precipitation. The nature of cations and ...

Ecological intensification has been promoted as a means to achieve environmentally sustainable increases in crop yields by enhancing ecosystem functions that regulate and support production. There is, however, little direct evidence of yield benefits from ecological intensification on commercial farms growing globally important foodstuffs (grains, oilseeds and pulses). We replicated two treatme...

Agrarian sector in India is facing rigorous problem to maximize the crop productivity. More than 60 percent of the crop still depends on monsoon rainfall. Recent developments in Information Technology for agriculture field has become an interesting research area to predict the crop yield. The problem of yield prediction is a major problem that remains to be solved based on available data. Data ...

This paper presents a computer vision system that is able to discriminate between weed patches and crop rows in real-time, from videos taken directly from a tractor moving through the field. Weed/crop discrimination is highly simplified thanks to video stabilization. We present a simple but effective variant of the inverse compositional algorithm for image alignment, and show that on our videos...

A simulation model was developed to estimate the effect of deficit irrigation upon crop yield. The model was designed to provide relative yield estimates for numerous combinations of irrigation system, crop growth and irrigation management parameters. A daily soil moisture balance was used to predict evaporation and transpiration from which crop yields were estimated. Gross irrigation water req...