▶ Covers technologies for ripeness, quality, damage and disease assessment and prediction; Grading and classification techniques; postharvest treatments, value-addition, and traceability ▶ Examines processing technologies for agricultural and horticultural products; explores properties of foods and agricultural products ▶ Reviews sensors, sensing technology and process control ▶ Focuses on rese...

The paper examines contracts in new agricultural industries that exhibit learning-bydoing. A dynamic model analyzes a contract’s effect on production decisions, as well as investments in processing capacity and learning. The results of the model are applied qualitatively to the biomass electricity industry. Submitted by: Conrad J. Choinière Dept. of Agricultural and Resource Economics Universit...

▶ Covers technologies for ripeness, quality, damage and disease assessment and prediction; Grading and classification techniques; postharvest treatments, value-addition, and traceability ▶ Examines processing technologies for agricultural and horticultural products; explores properties of foods and agricultural products ▶ Reviews sensors, sensing technology and process control ▶ Focuses on rese...

▶ Covers technologies for ripeness, quality, damage and disease assessment and prediction; Grading and classification techniques; postharvest treatments, value-addition, and traceability ▶ Examines processing technologies for agricultural and horticultural products; explores properties of foods and agricultural products ▶ Reviews sensors, sensing technology and process control ▶ Focuses on rese...

▶ Covers technologies for ripeness, quality, damage and disease assessment and prediction; Grading and classification techniques; postharvest treatments, value-addition, and traceability ▶ Examines processing technologies for agricultural and horticultural products; explores properties of foods and agricultural products ▶ Reviews sensors, sensing technology and process control ▶ Focuses on rese...

▶ Covers technologies for ripeness, quality, damage and disease assessment and prediction; Grading and classification techniques; postharvest treatments, value-addition, and traceability ▶ Examines processing technologies for agricultural and horticultural products; explores properties of foods and agricultural products ▶ Reviews sensors, sensing technology and process control ▶ Focuses on rese...

▶ Covers technologies for ripeness, quality, damage and disease assessment and prediction; Grading and classification techniques; postharvest treatments, value-addition, and traceability ▶ Examines processing technologies for agricultural and horticultural products; explores properties of foods and agricultural products ▶ Reviews sensors, sensing technology and process control ▶ Focuses on rese...

Sugar industry is an oldest accommodates industry in the world. It required and discharges a large amount of water for processing. Removal of chemical oxygen demand and color through the electrochemical process including hybrid iron and aluminum electrode was examined for the treatment of cane-based sugar industry wastewater. Most favorable condition at pH 6.5, inter-electrode gap 20 mm, curren...

Published by the College of Tropical Agriculture and Human Resources (CTAHR) and issued in furtherance of Cooperative Extension work, Acts of May 8 and June 30, 1914, in cooperation with the U.S. Department of Agriculture. Andrew G. Hashimoto, Director/Dean, Cooperative Extension Service/CTAHR, University of Hawai‘i at Mänoa, Honolulu, Hawai‘i 96822. An equal opportunity/affirmative action inst...