InCane: Bulletin No.15
Generative AI and Its Impact on Sugarcane Industry: An Insight into Modern Agricultural Practices Ray, PP Sugar Tech |January 2024 Mobile Application Implementation as Agriculture 4.0 Strategy for Sugarcane Yield
Generative AI and Its Impact on Sugarcane Industry: An Insight into Modern Agricultural Practices Ray, PP Sugar Tech |January 2024 Mobile Application Implementation as Agriculture 4.0 Strategy for Sugarcane Yield
A Mathematical Model to Minimize the Total Cultivation Cost of Sugarcane Kumar, S. & Pant, M. In: Soft Computing for Problem Solving| 2023 Operational cycle analysis of Colombian sugarcane harvest,
A Soil Physical Assessment Over Three Successive Burned and Unburned Sugarcane Annual Harvests Ortiz, PFS, et al Sugar Tech |25| 2023 Combined Chemical Fertilizers with Molasses Increase Soil Stable Organic
01 April 2024 Agronomy Journal Vol. 116, No. 2, Mar – Apr 2024 Crop Science Vol. 64, No. 2, Mar – Apr 2024 Soil Science Society American Journal Vol. 88,
30 Sep 23 12th Latin American Congress ATALAC and the Caribbean September 18 to 20, 2023. San José, Costa Rica Table of contents XXII ATACA – XV ATAGUA 2023
Apr 01, 2024 NTC 5800: 2020. Innovation management system. Terminology and definitions. Bogotá: ICONTEC, 2020. 21 p. Table of contents NTC 5801: 2018. Management system for
Chapter 6. Smart Irrigation and Cultivation Recommendation System for Precision Agriculture Driven by IoT Kumari, NMJ, Thirupathi Rao, N. & Bhattacharyya, D. In: Machine Intelligence, Big Data Analytics, and IoT
Sugarcane (Saccharum officinarum L.) under saline stress: Growth, productivity, technological quality, and industrial yield Florentino de Morais, JE, et al Industrial crops and products |188| November 2022 Detection of White
A review of UAV platforms, sensors, and applications for monitoring of sugarcane crops Amarasingam, N., et al Environment |26| April 2022 Improving sugarcane production in saline soils with Machine Learning
Improving sugarcane growth simulation by integrating multi-source observation into a crop model Yu, D., Zha, Y., Shi, L., Ye, H. & Zhang, Y. European Journal of Agronomy |132|January 2022 Machine
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