Chapter 6. Smart Irrigation and Cultivation Recommendation System for Precision Agriculture Driven by IoT Kumari, N.M.J., Thirupathi Rao, N. & Bhattacharyya, D. In: Machine Intelligence, Big Data Analytics, and IoT in Image Processing: Practical Applications 2023 Vegetation indices as a […]
03 Marzo 2023 Agronomy Journal Vol. 115 No. 1, Jan – Feb 2023 Crop Science Vol. 63. No. 1, Jan – Feb 2023 Soil Science Society American Journal Vol. 87 No. 1, Jan – Feb 2023 Phytopatology Vol. 113 No. […]
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Changing fertilizer management practices in sugarcane production: Cane grower survey insights Hassan, S., Smart, J.C.R., Hay, R. & Rundle-Thiele, S. Land | March 2021 Design and Evaluation of Drip Irrigation System for Sugarcane in India Ravikumar, V., Angaleeswari, M. & […]
Agronomic, economic, and environmental assessment of site-specific fertilizer management of Brazilian sugarcane fields Sanches, G. M., et al Geoderma regional |January 2021 A spatially explicit assessment of sugarcane vinasse as a sustainable by-product Buller, L.S., et al Science of the […]
A new design of sugarcane seed cutting systems based on machine vision Zhou, D., et all Computers and electronics in agriculture |175| August 2020 El Niño / La Niña impact on crop production over different agro-climatic zones of Indo-Gangetic Plain […]
An improved workflow for calibration and downscaling of GCM climate forecasts for agricultural applications – A case study on prediction of sugarcane yield in Australia Schepen, A.; Everinghan, Y. & Wang, Q. Agricultural and forest meteorology |291| September 2020 Prediction […]
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