Linking a Developed Decision Support System with Advanced Methodologies for Optimized Agricultural Water Delivery

Kinzli, Kristoph-Dietrich; Gensler, David; Oad, Ramchand

doi:10.5772/16877

Efficient Decision Support Systems - Practice and Challenges in Multidisciplinary Domains 2011

DOI: 10.5772/16877

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Linking a Developed Decision Support System with Advanced Methodologies for Optimized Agricultural Water Delivery

Kristoph-Dietrich Kinzli¹,

David Gensler²,

Ramchand Oad³

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“…20, No. 2, November 2020 : 1070 -10771074 An architecture of decision support system (DSS) applied in the field of agriculture[22]…”

mentioning

confidence: 99%

Technology in Indian agriculture - a review

Upendra

Umesh²,

Varma³

et al. 2020

IJEECS

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Optimization of agricultural practices for enhanced crop yield is considered to be essential phenomena for the countries like India. In order to strengthen the economy and also to meet the food demand for the exponentially growing population, optimizing the agricultural practices has become necessity. In India, weather and geographical conditions are highly variable and were thought to be the major bottleneck of agricultural practices to achieve improved crop yield. Agricultural practices in India are facing many challenges such as change in climatic conditions, different geographical environment, conventional agricultural practices; economic and political scenario. Economic loss due to the lack of information on crop yield productivity is another major concern in the country. These hurdles can be overcome by the implementation of advanced technology in agriculture. Some of the trends observed are smart farming, digital agriculture and Big Data Analytics which provide useful information regarding various crop yields influencing factors and predicting the accurate amounts of crop yield. The exact prediction of crop yield helps formers to develop a suitable cultivation plan, crop health monitoring system, management of crop yield efficiently and also to establish the business strategy in order to decrease economic losses. This also makes the agricultural practices as one of the highly profitable venture. This paper presents insights on the various applications of technology advancements in agriculture such as Digital Agriculture, Smart Farming or Internet of Agriculture Technology (IoAT), Precision Agriculture, Crop Management, Weed and Pest control, Crop protection and Big data analytics.

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“…20, No. 2, November 2020 : 1070 -10771074 An architecture of decision support system (DSS) applied in the field of agriculture[22]…”

mentioning

confidence: 99%

Technology in Indian agriculture - a review

Upendra

Umesh²,

Varma³

et al. 2020

IJEECS

View full text Add to dashboard Cite

show abstract

Implementation of a Decision Support System for Improving Irrigation Water Delivery: Case Study

Kinzli

Gensler²,

Oad

et al. 2015

J. Irrig. Drain Eng.

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Linking a Developed Decision Support System with Advanced Methodologies for Optimized Agricultural Water Delivery

Cited by 2 publications

References 4 publications

Technology in Indian agriculture - a review

Technology in Indian agriculture - a review

Implementation of a Decision Support System for Improving Irrigation Water Delivery: Case Study

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