This book covers key areas of agricultural science. The contributions by the authors include abiotic stress tolerance, agricultural robotics, algorithmic accountability, artificial intelligence, balanced fertilisation, biological control, biopesticides, blockchain traceability, chlorophyll content, climate change mitigation, climate resilience, climate-smart agriculture, controlled environment agriculture, crop productivity, CRISPR-CAS genome editing, data governance, deep learning, digital divide, digital twins, disease detection, drought tolerance, economic threshold level, edge computing, environmental sustainability, exogenous proline, fertigation, food loss and waste reduction, food security, genomic selection, grain yield, harvest index, heat-stress recognition, high-throughput phenotyping, host-plant resistance, integrated pest management, internet of things, irrigation scheduling, machine learning, marker-assisted backcrossing, marker-assisted selection, molecular breeding, multi-omics integration, nitrogen fertilisation, nutrient-use efficiency, pest monitoring, phosphorus fertilisation, pollen viability, precision agriculture, pulse crops, remote sensing, reproductive-stage salinity tolerance, resource-use optimisation, salinity stress, smart fertilisation, supply chain integration, unmanned aerial vehicles, variable-rate technology, water-use efficiency, yield monitoring. This book contains various materials suitable for students, researchers, and academicians in the fields of agricultural science.
Editor(s)
Prof. Levent SON
Mersin University, Turkey.
Short Biosketch
ISBN 978-81-69986-19-9 (Print)
ISBN 978-81-69986-18-2 (eBook)
DOI: https://doi.org/10.9734/bpi/asti/v11
This book covers key areas of agricultural science. The contributions by the authors include abiotic stress tolerance, agricultural robotics, algorithmic accountability, artificial intelligence, balanced fertilisation, biological control, biopesticides, blockchain traceability, chlorophyll content, climate change mitigation, climate resilience, climate-smart agriculture, controlled environment agriculture, crop productivity, CRISPR-CAS genome editing, data governance, deep learning, digital divide, digital twins, disease detection, drought tolerance, economic threshold level, edge computing, environmental sustainability, exogenous proline, fertigation, food loss and waste reduction, food security, genomic selection, grain yield, harvest index, heat-stress recognition, high-throughput phenotyping, host-plant resistance, integrated pest management, internet of things, irrigation scheduling, machine learning, marker-assisted backcrossing, marker-assisted selection, molecular breeding, multi-omics integration, nitrogen fertilisation, nutrient-use efficiency, pest monitoring, phosphorus fertilisation, pollen viability, precision agriculture, pulse crops, remote sensing, reproductive-stage salinity tolerance, resource-use optimisation, salinity stress, smart fertilisation, supply chain integration, unmanned aerial vehicles, variable-rate technology, water-use efficiency, yield monitoring. This book contains various materials suitable for students, researchers, and academicians in the fields of agricultural science.
R. Muthuvijayaragavan, E. Murugan
B. L. Jat, A. S. Tetarwal, Mamta Choudhary
Lu Zaw Myo, Yupa Pootaeng-on, Panida Duangkaew, Chaowanee Laosutthipong
Valles Romero Jose Antonio, Alonzo Medina Gerardo Manuel, Morales Maldonado Emilio Raymundo
İrfan İNAN, Savaş DEMİR, Zehra EKİN
Badr Eldin A. Mohammed Ahmed, Abdelshakoor Haroon Suliman, Abdel Rahim Ibrihim Naeem, Sami Mahmmed Salih, Hafiz Ibrahim Ahmed Tijany