The purpose of this paper is to demonstrate the performance of agricultural sectors in the Association of Southeast Asian Nations (ASEAN) countries using selected criteria, to identify the deficiencies in agricultural policies, to explore competitive advantages and to guide food and nutrition policies. The analyses of this research use the secondary of time series data between the years 1967 - 2016 from 10 countries including; Brunei Darussalam, Cambodia, Indonesia, Laos PDR, Malaysia, Myanmar, Philippines, Singapore, Thailand and Vietnam which are the member of ASEAN. This research uses the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method and the data used for the mentioned countries include the following criteria; total agricultural production value of the land, self-sufficiency of animal products criteria, self-sufficiency of crop products criteria, rural population rate, greenhouse gas emissions from agriculture, and value of foreign trade in agricultural products. The result of proximity coefficients calculated with the TOPSIS method, which according to the number of proximity and maximum benefit analysis should be done according to the order of preference. It is stated that Thailand, Philippines and Indonesia were the most successful countries in the agricultural policy performance in 1967. As for last decades, Malaysia became the most successful country in agricultural policy performance. We can infer from the results that Malay industrial sector triggered the agricultural sector by supplying financial investment atmosphere.

Three treatments were tested with four replications at RCBD, namely cassava monoculture, corn twice under cassava intercropping, and corn with corn monoculture where the second corn was planted 5 days after harvested. Planting distance of cassava in monoculture was 100x100 cm, and in intercropping was 200x50 cm, by which corn was planted in 50x30 cm, 1 seed per hole. All plots received dairy cattle manure 5 t haE-1. Fertilizer applied for cassava was Urea 100 kg haE-1, Ponska 200 kg haE-1 and KCl 100 kg haE-1 split into two applications two weeks after cassava planting, then when first of corn was harvested. Corn fertilization was Ponska 150 kg haE-1 + Urea 100 kg haE-1 every 3 months and split into two applications: 1 week and 4 weeks after corn was planted. Cassava and twice corn fertilization was Urea 300 kg haE-1 + Phonska 400 kg haE-1 + KCl 100 kg haE-1. Results showed that cassava monoculture can be improved by inserting of twice corn in between rows. Under sole cropping cassava, the B/C ratio was the highest 1.61, however with incorporating twice of corn the B/C ratio was 1.58. Intercropping cassava and twice of corn resulted in the Land Equivalent Ratio 2.146. By intercropping cassava with corn twice at the end of dry season, there was an opportunity to find corn biomass for dairy cattle. Under intercropping, cassava was able to produce 21.5 t haE-1 of fresh roots, while first and second of corn produced fresh biomass of 34 t haE-1 and 28 t haE-1 respectively.

Remote and automatic monitoring of two Apis Cerana bee colonies was conducted in Indonesia to demonstrate precision beekeeping approach in that region. Successful implementation of the precision beekeeping system includes development of the bee colony monitoring hardware and software for data collection, analysis and visualisation. This paper focuses on development and installation of such systems at the private apiary in Indonesia. For bee colony monitoring at the apiary a developed monitoring unit was used, which is based on ESP microchip, and for the data storage SAMS data warehouse was used. The monitoring results showed that the choice of the location of the temperature sensor is important, as the temperature at the hive sides changes synchronously with the outside temperature. Also, feedback from the beekeeper is collected to further improve the system and monitoring process. This research is conducted within the SAMS – Smart Apiculture Management Services project, which is funded by the European Union within the H2020-ICT-39-2016-2017 call and with close collaboration with the local private beekeeper. To find out more, visit the project website https://sams-project.eu/.

Population of Indonesian around 265,015,300 people, so they need a huge amount of food. Rice is the most important food staple, but it is still imported around 500,000 t to stabilize the price in Indonesia. However, the country’s import of wheat is approximately is greater than 10,000,000 t. Hunger reduction and poverty eradication are the top priorities under SDGs (Sustainable Development Goals). Production of food based on cereals and grains was inert. Thus to meet the global claims root-crops, particularly cassava, has the potential to be explored. Cassava originated from tropical Latin America; it was distributed to Asia and Africa after Columbus discovered America in the 15th century. Early distribution of cassava was only across the longitude; recently its distribution is athwart the latitude. Literature review as well as arena reflection were used to gather information to meet the methodology in this research. Increasing productivity to meet the demand of food, feed, and other industrial needs with prosperous communities is considered an endless charity which requires a solid global cooperation. Price fluctuation was a factor affecting cassava progress; however, it was neglected by the government.