TY - GEN

T1 - An Alternative Approach to Managing the Nitrogen Content of Cereal Crops

AU - Митрофанова, Ольга Александровна

AU - Якушев, Вячеслав Викторович

AU - Захарова, Елена Томовна

AU - Терлеев, Виталий Викторович

PY - 2022

Y1 - 2022

N2 - Fertilizers are actively used in agriculture, and nitrogen is a main introduced agrochemical for cereal crops. It's necessary to study crops nitrogen status managing approaches by determining reasonable doses of fertilizer applied. The crop production process dynamic modeling method is difficult to apply in practice. In this connection, an alternative approach to control the crops nitrogen content based on the remote sensing processing is proposed. Cereal crops aerial photographs are used as the initial data of the problem under consideration. In addition, ground-based measurements can be used. Two approaches to solve this problem based on image processing are proposed. The first method is based on the analysis of plant color characteristics. In the case when in addition to the aerial photograph of crops there is a set of ground-based measurements of nitrogen content in plants, it is advisable to carry out spatial interpolation using the kriging method. It should be noted that in spite of the high accuracy of the plant nitrogen content prediction by both methods, the approach using test sites seems to be more effective.

AB - Fertilizers are actively used in agriculture, and nitrogen is a main introduced agrochemical for cereal crops. It's necessary to study crops nitrogen status managing approaches by determining reasonable doses of fertilizer applied. The crop production process dynamic modeling method is difficult to apply in practice. In this connection, an alternative approach to control the crops nitrogen content based on the remote sensing processing is proposed. Cereal crops aerial photographs are used as the initial data of the problem under consideration. In addition, ground-based measurements can be used. Two approaches to solve this problem based on image processing are proposed. The first method is based on the analysis of plant color characteristics. In the case when in addition to the aerial photograph of crops there is a set of ground-based measurements of nitrogen content in plants, it is advisable to carry out spatial interpolation using the kriging method. It should be noted that in spite of the high accuracy of the plant nitrogen content prediction by both methods, the approach using test sites seems to be more effective.

KW - Cereal crops

KW - Fertilizers

KW - Nitrogen

UR - http://www.scopus.com/inward/record.url?scp=85117524686&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/0e1d393f-7fab-3cf7-a768-e0e9866ecbba/

U2 - 10.1007/978-981-16-3844-2_44

DO - 10.1007/978-981-16-3844-2_44

M3 - Conference contribution

SN - 9789811638435

T3 - Smart Innovation, Systems and Technologies

SP - 481

EP - 491

BT - Robotics, Machinery and Engineering Technology for Precision Agriculture

A2 - Shamtsyan, Mark

A2 - Pasetti, Marco

A2 - Beskopylny, Alexey

PB - Springer Nature

ER -